Instructions to use Huntersx/cola_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Huntersx/cola_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Huntersx/cola_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Huntersx/cola_model") model = AutoModelForSequenceClassification.from_pretrained("Huntersx/cola_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Huntersx/cola_model: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/Huntersx/cola_model/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Huntersx/cola_model/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Huntersx/cola_model/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- 541a7bf3ca52d33f172ddd3372713b3e5fc15b3f900cf602fb5b8f75e5f1702d
- Size of remote file:
- 438 MB
- SHA256:
- 1df7d9ee0c331fbd9b562c8c3c58d7e041265c28632afaaa6f92e800e408648b
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