Instructions to use connectivity/cola_6ep_ft-10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use connectivity/cola_6ep_ft-10 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="connectivity/cola_6ep_ft-10")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("connectivity/cola_6ep_ft-10") model = AutoModelForSequenceClassification.from_pretrained("connectivity/cola_6ep_ft-10", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from connectivity/cola_6ep_ft-10: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/connectivity/cola_6ep_ft-10/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://connectivity/cola_6ep_ft-10/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/connectivity/cola_6ep_ft-10/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- 66052d686415ce6e738b411d47a42e87ec3596541c2ebb5d442b2e64267ed4da
- Size of remote file:
- 438 MB
- SHA256:
- 9a4353186ea8703ae23dff72939bd26152636903a59bb13e9bd9ee16b92b4c73
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