Instructions to use Jeevesh8/512seq_len_6ep_bert_ft_cola-72 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/512seq_len_6ep_bert_ft_cola-72 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/512seq_len_6ep_bert_ft_cola-72")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/512seq_len_6ep_bert_ft_cola-72") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/512seq_len_6ep_bert_ft_cola-72") - Notebooks
- Google Colab
- Kaggle
Saving weights and logs of step 1603
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
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