Instructions to use pucpr-br/tempclin-biobertpt-all with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pucpr-br/tempclin-biobertpt-all with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="pucpr-br/tempclin-biobertpt-all")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("pucpr-br/tempclin-biobertpt-all") model = AutoModelForTokenClassification.from_pretrained("pucpr-br/tempclin-biobertpt-all", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from pucpr-br/tempclin-biobertpt-all: direct link, hf CLI and curl.
- Browser
- Download file 709 MB
-
https://huggingface.co/pucpr-br/tempclin-biobertpt-all/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://pucpr-br/tempclin-biobertpt-all/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/pucpr-br/tempclin-biobertpt-all/resolve/main/pytorch_model.bin
709 MB
- Xet hash:
- bba554b74819d596605994556e65ac5678a4a3a9ff4391c84f364abeeddd18fb
- Size of remote file:
- 709 MB
- SHA256:
- 4fa788fbfc327ab86bb1b457a69724cee8cfdd73bc22f256b17dab16ec36d411
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