Instructions to use TheJournal/good_sentiment_model4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TheJournal/good_sentiment_model4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TheJournal/good_sentiment_model4")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TheJournal/good_sentiment_model4") model = AutoModelForSequenceClassification.from_pretrained("TheJournal/good_sentiment_model4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding `safetensors` variant of this model
Verified signatureThis is an automated PR created with https://huggingface.co/spaces/safetensors/convert This new file is equivalent to `pytorch_model.bin` but safe in the sense that no arbitrary code can be put into it. These files also happen to load much faster than their pytorch counterpart: https://colab.research.google.com/github/huggingface/notebooks/blob/main/safetensors_doc/en/speed.ipynb The widgets on your model page will run using this model even if this is not merged making sure the file actually works. If you find any issues: please report here: https://huggingface.co/spaces/safetensors/convert/discussions Feel free to ignore this PR.6a1a5be
-
Upload special_tokens_map.json with huggingface_hub
1f20dbe -
Upload tokenizer_config.json with huggingface_hub
62d7484 -
Upload pytorch_model.bin with huggingface_hub
ba50bda -
Upload config.json with huggingface_hub
8f5391b -
Upload vocab.txt with huggingface_hub
b1e2a8d -
Upload tokenizer.json with huggingface_hub
766e7a1 -
initial commit
c2f35a3