Instructions to use giacomomiolo/biobert_reupload with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use giacomomiolo/biobert_reupload with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="giacomomiolo/biobert_reupload")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("giacomomiolo/biobert_reupload") model = AutoModel.from_pretrained("giacomomiolo/biobert_reupload", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from giacomomiolo/biobert_reupload: direct link, hf CLI and curl.
- Browser
- Download file 433 MB
-
https://huggingface.co/giacomomiolo/biobert_reupload/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://giacomomiolo/biobert_reupload/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/giacomomiolo/biobert_reupload/resolve/main/flax_model.msgpack
433 MB
- Xet hash:
- 020afcc0b1921f435dc91ea5faf46693bf61d46fbe4ec66bcac66739dad258cd
- Size of remote file:
- 433 MB
- SHA256:
- a9d5321cba59a777561395e7794d404088d9c494bd906c40c3aaedec4f88ccb9
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