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 pytorch_model.bin from PrachiPatel/text_emotion_classification: direct link, hf CLI and curl.
- Browser
- Download file 268 MB
-
https://huggingface.co/PrachiPatel/text_emotion_classification/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://PrachiPatel/text_emotion_classification/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/PrachiPatel/text_emotion_classification/resolve/main/pytorch_model.bin
268 MB
- Xet hash:
- a549bee6c266bc1f84b4185cb9ec794c9e7b9fc08b73fa2caae67d97fa0f7b6d
- Size of remote file:
- 268 MB
- SHA256:
- 6535b61067161b1ceabaf75d04e5a02ee5e3678e0cd091bca46380391ea25b56
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