Instructions to use SlayerLab/NERGAL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SlayerLab/NERGAL with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="SlayerLab/NERGAL")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("SlayerLab/NERGAL") model = AutoModelForTokenClassification.from_pretrained("SlayerLab/NERGAL", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from SlayerLab/NERGAL: direct link, hf CLI and curl.
- Browser
- Download file 2.24 GB
-
https://huggingface.co/SlayerLab/NERGAL/resolve/main/model.safetensors
- Command line
-
hf download hf://SlayerLab/NERGAL/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/SlayerLab/NERGAL/resolve/main/model.safetensors
2.24 GB
- Xet hash:
- 8646e4678dd7bcbca6b389fcdcf055ba07a5bd2c313fb7871ed134373bd03b4b
- Size of remote file:
- 2.24 GB
- SHA256:
- 1d42c34459e90cd25db44f92bb31fb2be1ef3a1b1e34c599162e1895057c08f6
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