Instructions to use simecek/DNADebertaBPE30k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simecek/DNADebertaBPE30k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="simecek/DNADebertaBPE30k")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("simecek/DNADebertaBPE30k") model = AutoModelForMaskedLM.from_pretrained("simecek/DNADebertaBPE30k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 5000
Browse files- .gitignore +1 -0
- config.json +28 -0
- pytorch_model.bin +3 -0
- runs/Jul14_08-39-42_fee7f16cab7a/1657787995.4561641/events.out.tfevents.1657787995.fee7f16cab7a.504.1 +3 -0
- runs/Jul14_08-39-42_fee7f16cab7a/events.out.tfevents.1657787995.fee7f16cab7a.504.0 +3 -0
- runs/Jul14_08-43-26_fee7f16cab7a/1657788215.3298295/events.out.tfevents.1657788215.fee7f16cab7a.741.1 +3 -0
- runs/Jul14_08-43-26_fee7f16cab7a/events.out.tfevents.1657788215.fee7f16cab7a.741.0 +3 -0
- training_args.bin +3 -0
.gitignore
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checkpoint-*/
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config.json
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{
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"architectures": [
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"DebertaForMaskedLM"
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],
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"attention_probs_dropout_prob": 0.1,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-07,
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"max_position_embeddings": 512,
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"max_relative_positions": -1,
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"model_type": "deberta",
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"num_attention_heads": 12,
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"num_hidden_layers": 6,
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"pad_token_id": 0,
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"pooler_dropout": 0,
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"pooler_hidden_act": "gelu",
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"pooler_hidden_size": 768,
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"pos_att_type": null,
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"position_biased_input": true,
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"relative_attention": false,
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"torch_dtype": "float32",
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"transformers_version": "4.20.1",
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"type_vocab_size": 0,
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"vocab_size": 30000
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:9ab2d552bb236c03cdb4783864ded13eb2e14c829bac3c673cb351a00c599d6b
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size 266351069
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runs/Jul14_08-39-42_fee7f16cab7a/1657787995.4561641/events.out.tfevents.1657787995.fee7f16cab7a.504.1
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version https://git-lfs.github.com/spec/v1
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runs/Jul14_08-39-42_fee7f16cab7a/events.out.tfevents.1657787995.fee7f16cab7a.504.0
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version https://git-lfs.github.com/spec/v1
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runs/Jul14_08-43-26_fee7f16cab7a/1657788215.3298295/events.out.tfevents.1657788215.fee7f16cab7a.741.1
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runs/Jul14_08-43-26_fee7f16cab7a/events.out.tfevents.1657788215.fee7f16cab7a.741.0
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oid sha256:39db68e02715e3e064366941b5582bcc6ef90c716123ef48e355ec9a2596236c
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size 4020
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:dde0bfb523545e9635fb00e26a34d097a3d7021b1f2e59e3608339c4a64bd421
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size 3311
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