Text Classification
Transformers
PyTorch
English
bert
Generated from Trainer
text-embeddings-inference
Instructions to use henryscheible/eval_v2_cola with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use henryscheible/eval_v2_cola with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="henryscheible/eval_v2_cola")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("henryscheible/eval_v2_cola") model = AutoModelForSequenceClassification.from_pretrained("henryscheible/eval_v2_cola", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from henryscheible/eval_v2_cola: direct link, hf CLI and curl.
- Browser
- Download file 3.38 kB
-
https://huggingface.co/henryscheible/eval_v2_cola/resolve/main/training_args.bin
- Command line
-
hf download hf://henryscheible/eval_v2_cola/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/henryscheible/eval_v2_cola/resolve/main/training_args.bin
3.38 kB
- Xet hash:
- 34d2f2b014fd2e79b5da85def4e121757d97b80f40e6b6ff43e9db24c2e93327
- Size of remote file:
- 3.38 kB
- SHA256:
- f15870206ea6e2204547f020f41780e2073b1a558d9e37c43fad194b4534c2d9
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