Instructions to use abhi1nandy2/Craft-bionlp-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abhi1nandy2/Craft-bionlp-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="abhi1nandy2/Craft-bionlp-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("abhi1nandy2/Craft-bionlp-roberta-base") model = AutoModelForMaskedLM.from_pretrained("abhi1nandy2/Craft-bionlp-roberta-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1f3c97c7f3257a3e9b613bea5b146249ac9defd8c0487138a6ba075db16c7d8d
- Size of remote file:
- 499 MB
- SHA256:
- 816de6aef654c17e76d5a9217e05fd40022a6189980bde0ee477003e45c6f2cc
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