Instructions to use khanh98/model3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use khanh98/model3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="khanh98/model3")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("khanh98/model3") model = AutoModelForSequenceClassification.from_pretrained("khanh98/model3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from khanh98/model3: direct link, hf CLI and curl.
- Browser
- Download file 25 Bytes
-
https://huggingface.co/khanh98/model3/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://khanh98/model3/tokenizer_config.json
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curl -L -o tokenizer_config.json https://huggingface.co/khanh98/model3/resolve/main/tokenizer_config.json
25 Bytes
| {"model_max_length": 256} |