Instructions to use NaturalAntibody/human_heavy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NaturalAntibody/human_heavy with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="NaturalAntibody/human_heavy")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("NaturalAntibody/human_heavy") model = AutoModelForMaskedLM.from_pretrained("NaturalAntibody/human_heavy") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c7cdd3d8f3478143a84d9aa0ecc3caa37e94c7930597563149bf977259c232be
- Size of remote file:
- 4.16 kB
- SHA256:
- 1b42a4e020ab10a141d461fb57e52cea112c30887d6fb4aef002f23c2065856e
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