Instructions to use jogonba2/POCTS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jogonba2/POCTS with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("summarization", model="jogonba2/POCTS")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jogonba2/POCTS") model = AutoModelForSeq2SeqLM.from_pretrained("jogonba2/POCTS", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4a1dcdbf8bb814b2d2b6f403f62ba1878b3e0cb50d0218ef77812a2aecb63f44
- Size of remote file:
- 1.63 GB
- SHA256:
- e9a37fbb3be47b097d897478a0dce567e2b555ddb72c818086cb9db66ee5693c
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