Instructions to use daviddragan/bio_gpt_base_1921_001275265 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use daviddragan/bio_gpt_base_1921_001275265 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="daviddragan/bio_gpt_base_1921_001275265")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("daviddragan/bio_gpt_base_1921_001275265") model = AutoModelForCausalLM.from_pretrained("daviddragan/bio_gpt_base_1921_001275265") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0485d416be6b881f54a061b799c46a05758a50b18168a4a8bae7d8f21cd5280e
- Size of remote file:
- 1.39 GB
- SHA256:
- 0c068d76e56177f6f1f6171afbc1b8324fe061e74b038e36389d63bcc00fbf12
路
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