Instructions to use westlake-repl/ProTrek_650M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use westlake-repl/ProTrek_650M with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("westlake-repl/ProTrek_650M", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext/tokenizer_config.json from westlake-repl/ProTrek_650M: direct link, hf CLI and curl.
- Browser
- Download file 28 Bytes
-
https://huggingface.co/westlake-repl/ProTrek_650M/resolve/f2a9d59f333f191fd9268c0f8faf41a1100937c3/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext/tokenizer_config.json
- Command line
-
hf download hf://westlake-repl/ProTrek_650M@f2a9d59f333f191fd9268c0f8faf41a1100937c3/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/westlake-repl/ProTrek_650M/resolve/f2a9d59f333f191fd9268c0f8faf41a1100937c3/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext/tokenizer_config.json
28 Bytes
| { | |
| "do_lower_case": true | |
| } | |