Instructions to use Sohan2004/TextSentimentClassifierV1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sohan2004/TextSentimentClassifierV1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sohan2004/TextSentimentClassifierV1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sohan2004/TextSentimentClassifierV1") model = AutoModelForSequenceClassification.from_pretrained("Sohan2004/TextSentimentClassifierV1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6dde44a0659aa4d929bf43bd9d1889312270338a360e47199153fba3ff2afe4c
- Size of remote file:
- 268 MB
- SHA256:
- 9669887d8a6332f511b638ceddcd438b2d01235cadc790b4b2d671c69a67c157
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