Instructions to use Jeevesh8/bert_ft_cola-75 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/bert_ft_cola-75 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/bert_ft_cola-75")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bert_ft_cola-75") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bert_ft_cola-75") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
098cda0 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:a9cae12287fbd773ee0b609ea86acf474e626d4fff1e46ae4b679c738a1aeefd
size 438003309
|