Instructions to use mackseem/biored with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mackseem/biored with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="mackseem/biored")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("mackseem/biored") model = AutoModelForTokenClassification.from_pretrained("mackseem/biored", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from mackseem/biored: direct link, hf CLI and curl.
- Browser
- Download file 679 kB
-
https://huggingface.co/mackseem/biored/resolve/main/tokenizer.json
- Command line
-
hf download hf://mackseem/biored/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/mackseem/biored/resolve/main/tokenizer.json
679 kB
File too large to display, you can check the raw version instead.