Instructions to use Nehc/W10_27 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nehc/W10_27 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Nehc/W10_27")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Nehc/W10_27") model = AutoModelForSequenceClassification.from_pretrained("Nehc/W10_27", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Nehc/W10_27: direct link, hf CLI and curl.
- Browser
- Download file 3.71 MB
-
https://huggingface.co/Nehc/W10_27/resolve/refs%2Fpr%2F1/tokenizer.json
- Command line
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hf download hf://Nehc/W10_27@refs/pr/1/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Nehc/W10_27/resolve/refs%2Fpr%2F1/tokenizer.json
3.71 MB
File too large to display, you can check the raw version instead.