Instructions to use rttl-ai/BIOptimus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rttl-ai/BIOptimus with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="rttl-ai/BIOptimus")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("rttl-ai/BIOptimus") model = AutoModelForMaskedLM.from_pretrained("rttl-ai/BIOptimus", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from rttl-ai/BIOptimus: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/rttl-ai/BIOptimus/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://rttl-ai/BIOptimus/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/rttl-ai/BIOptimus/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- 8eba32d2d2ddd6b687e820b196737a98d64244812c1b7f3f7134d04c94c9c375
- Size of remote file:
- 438 MB
- SHA256:
- e3cf53e3afcd53815d7f0aed7fee9e8a3d7490d1aa33f3237365df1223c853eb
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