Instructions to use OTAR3088/BioCODGE-GO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OTAR3088/BioCODGE-GO with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="OTAR3088/BioCODGE-GO")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("OTAR3088/BioCODGE-GO") model = AutoModelForTokenClassification.from_pretrained("OTAR3088/BioCODGE-GO", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from OTAR3088/BioCODGE-GO: direct link, hf CLI and curl.
- Browser
- Download file 764 kB
-
https://huggingface.co/OTAR3088/BioCODGE-GO/resolve/main/tokenizer.json
- Command line
-
hf download hf://OTAR3088/BioCODGE-GO/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/OTAR3088/BioCODGE-GO/resolve/main/tokenizer.json
764 kB
File too large to display, you can check the raw version instead.