Instructions to use sxandie/model27Nov2023 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sxandie/model27Nov2023 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="sxandie/model27Nov2023")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("sxandie/model27Nov2023") model = AutoModelForTokenClassification.from_pretrained("sxandie/model27Nov2023", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from sxandie/model27Nov2023: direct link, hf CLI and curl.
- Browser
- Download file 2.11 MB
-
https://huggingface.co/sxandie/model27Nov2023/resolve/main/tokenizer.json
- Command line
-
hf download hf://sxandie/model27Nov2023/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/sxandie/model27Nov2023/resolve/main/tokenizer.json
2.11 MB
File too large to display, you can check the raw version instead.