Instructions to use skrishna/pythia-410mn-ntoxic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use skrishna/pythia-410mn-ntoxic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="skrishna/pythia-410mn-ntoxic")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("skrishna/pythia-410mn-ntoxic") model = AutoModelForSequenceClassification.from_pretrained("skrishna/pythia-410mn-ntoxic", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from skrishna/pythia-410mn-ntoxic: direct link, hf CLI and curl.
- Browser
- Download file 1.42 GB
-
https://huggingface.co/skrishna/pythia-410mn-ntoxic/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://skrishna/pythia-410mn-ntoxic/pytorch_model.bin
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curl -L -o pytorch_model.bin https://huggingface.co/skrishna/pythia-410mn-ntoxic/resolve/main/pytorch_model.bin
1.42 GB
- Xet hash:
- 935b15c0c8cee284469804367293172de17f5e354475b4ca30092918082d17a7
- Size of remote file:
- 1.42 GB
- SHA256:
- 31a4cdd6621be664d7ba8674b0e2db6235d9864a206bf7d45c3c21ac8af1e5f3
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