Instructions to use ducatte/sentiment_classification_bert_glue_sst2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ducatte/sentiment_classification_bert_glue_sst2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ducatte/sentiment_classification_bert_glue_sst2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ducatte/sentiment_classification_bert_glue_sst2") model = AutoModelForSequenceClassification.from_pretrained("ducatte/sentiment_classification_bert_glue_sst2") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 1500
Browse files
pytorch_model.bin
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runs/Jun11_07-25-42_b3ee7814417e/events.out.tfevents.1686468352.b3ee7814417e.402.0
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