Instructions to use PrachiPatel/text_emotion_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PrachiPatel/text_emotion_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="PrachiPatel/text_emotion_classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("PrachiPatel/text_emotion_classification") model = AutoModelForSequenceClassification.from_pretrained("PrachiPatel/text_emotion_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from PrachiPatel/text_emotion_classification: direct link, hf CLI and curl.
- Browser
- Download file 3.82 kB
-
https://huggingface.co/PrachiPatel/text_emotion_classification/resolve/main/training_args.bin
- Command line
-
hf download hf://PrachiPatel/text_emotion_classification/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/PrachiPatel/text_emotion_classification/resolve/main/training_args.bin
3.82 kB
- Xet hash:
- 67a9fd564fae2a1c3cd2fd4ad844bb5d744cc09252405b93a6e70c829b4d2dce
- Size of remote file:
- 3.82 kB
- SHA256:
- fdb3501f840f2c3fe0b65c8cbf5f8136bbe10c746e8d2e4f2e9e5c06f90c1fb0
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