Instructions to use entfane/Toxic_Llama8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use entfane/Toxic_Llama8B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="entfane/Toxic_Llama8B")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("entfane/Toxic_Llama8B") model = AutoModelForSequenceClassification.from_pretrained("entfane/Toxic_Llama8B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from entfane/Toxic_Llama8B: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/entfane/Toxic_Llama8B/resolve/main/tokenizer.json
- Command line
-
hf download hf://entfane/Toxic_Llama8B/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/entfane/Toxic_Llama8B/resolve/main/tokenizer.json
17.2 MB
- Xet hash:
- 5a77c47cfd878930db4e9faf5db4c30a7cfbc577f13edad96c6c3abc2722e7c5
- Size of remote file:
- 17.2 MB
- SHA256:
- 90883524dbec2e8c465564ac46b4e5298235668a5cf8523690f06f45f51646fe
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