Instructions to use nlpie/bio-distilbert-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nlpie/bio-distilbert-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="nlpie/bio-distilbert-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("nlpie/bio-distilbert-cased") model = AutoModelForMaskedLM.from_pretrained("nlpie/bio-distilbert-cased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6bd7005e3f33c330bddc8c14c63db349a39133434fde1eff03ba999238af30e9
- Size of remote file:
- 263 MB
- SHA256:
- 8cdc9c300de6fa374396b8b83ea46e625a65f5765857a1772db31f786adcd89a
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