Instructions to use TheJournal/good_sentiment_model2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TheJournal/good_sentiment_model2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TheJournal/good_sentiment_model2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TheJournal/good_sentiment_model2") model = AutoModelForSequenceClassification.from_pretrained("TheJournal/good_sentiment_model2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from TheJournal/good_sentiment_model2: direct link, hf CLI and curl.
- Browser
- Download file 268 MB
-
https://huggingface.co/TheJournal/good_sentiment_model2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://TheJournal/good_sentiment_model2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/TheJournal/good_sentiment_model2/resolve/main/pytorch_model.bin
268 MB
- Xet hash:
- 9483afc0adacdea307261f4daa37b748018044ef5f495c2a1bc1a4b33eb62766
- Size of remote file:
- 268 MB
- SHA256:
- 049e374875fa5032f5f1be3d2524ef3aab24bbb99664203dea85bd4048197615
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