Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use singhshiva/robert_mnli_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use singhshiva/robert_mnli_3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="singhshiva/robert_mnli_3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("singhshiva/robert_mnli_3") model = AutoModelForSequenceClassification.from_pretrained("singhshiva/robert_mnli_3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 500
Browse files
adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "roberta-large-mnli",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 16,
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"lora_dropout": 0.1,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 8,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"query",
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"value"
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],
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"task_type": "SEQ_CLS",
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"use_dora": false,
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"use_rslora": false
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:7bdd8b529870d9723f15ac11d3d73e72e8a5271e6e973b3df9ded5f694269e88
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size 7391272
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runs/Mar14_07-00-42_01af6475b78f/events.out.tfevents.1710399645.01af6475b78f.34.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:87f1fe51c50f12ad41ccc1205c8d58dc618dfb45372547c99d0b369b119422a8
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size 4894
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runs/Mar14_07-03-11_01af6475b78f/events.out.tfevents.1710399792.01af6475b78f.34.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:ec0644b8506300a329e37b375c8e54f6c08d42214c425c3e5c5d363628aec769
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size 5376
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:01b1e261af0483eb5182156b07811eb0cfb6e6f295e6b1724e81c9f26e0643b2
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size 4920
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