Instructions to use yarongef/DistilProtBert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yarongef/DistilProtBert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="yarongef/DistilProtBert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("yarongef/DistilProtBert") model = AutoModelForMaskedLM.from_pretrained("yarongef/DistilProtBert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 711c8facc66295895f3cd2e256c839ca0a635abaaf0fe7fe4c5bf940ad38638a
- Size of remote file:
- 924 MB
- SHA256:
- 53a819f07b267eb51127df83170829bed73ea055939ab45347481ad474fb9d31
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