Instructions to use TheJournal/good_sentiment_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TheJournal/good_sentiment_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TheJournal/good_sentiment_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TheJournal/good_sentiment_model") model = AutoModelForSequenceClassification.from_pretrained("TheJournal/good_sentiment_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from TheJournal/good_sentiment_model: direct link, hf CLI and curl.
- Browser
- Download file 268 MB
-
https://huggingface.co/TheJournal/good_sentiment_model/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://TheJournal/good_sentiment_model/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/TheJournal/good_sentiment_model/resolve/main/pytorch_model.bin
268 MB
- Xet hash:
- 02f7c3f5b1ea8859d6f5fa171c21db9e3e3f0ea2e47d3bfb7c81d725ef3dd946
- Size of remote file:
- 268 MB
- SHA256:
- 801c98a8fc5fc19795158bb7c1eefe43f75463d1858bb2455f969a2781ffec1d
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