Instructions to use connectivity/cola_6ep_ft-29 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use connectivity/cola_6ep_ft-29 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="connectivity/cola_6ep_ft-29")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("connectivity/cola_6ep_ft-29") model = AutoModelForSequenceClassification.from_pretrained("connectivity/cola_6ep_ft-29", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from connectivity/cola_6ep_ft-29: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/connectivity/cola_6ep_ft-29/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://connectivity/cola_6ep_ft-29/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/connectivity/cola_6ep_ft-29/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- 015b72094e1572ea30ae788fb8e83a3ee4e45633ee0ed8cd6dc1e526705acee5
- Size of remote file:
- 438 MB
- SHA256:
- 71ebb8c039f9fb7bc08df6180e7fd34283c7f5b7e080b1f99aeeee7ebab2a246
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