Instructions to use Charliefederer/datafun with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Charliefederer/datafun with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Charliefederer/datafun")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Charliefederer/datafun") model = AutoModelForTokenClassification.from_pretrained("Charliefederer/datafun", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from Charliefederer/datafun: direct link, hf CLI and curl.
- Browser
- Download file 407 MB
-
https://huggingface.co/Charliefederer/datafun/resolve/main/model.safetensors
- Command line
-
hf download hf://Charliefederer/datafun/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/Charliefederer/datafun/resolve/main/model.safetensors
407 MB
- Xet hash:
- 9c50358798f27336c2465e6d7edd4f6dd7111942afb72a2465530dc5180326bb
- Size of remote file:
- 407 MB
- SHA256:
- a2783f0a62e585b95508aa9774281b22f9fd9ca09f489b62b2ee33f78056ac06
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