Text Classification
Transformers
PyTorch
English
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use henryscheible/cola with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use henryscheible/cola with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="henryscheible/cola")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("henryscheible/cola") model = AutoModelForSequenceClassification.from_pretrained("henryscheible/cola", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from henryscheible/cola: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/henryscheible/cola/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://henryscheible/cola/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/henryscheible/cola/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- 98dad2d7e63297ad634cceadd789c7ea9b236ad7c246ecc57d4270ded1061359
- Size of remote file:
- 438 MB
- SHA256:
- 4feaa534551d82fa0af00c674cedd1510218116c9e76b6d08d53b0cb1826deee
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