Text Classification
Transformers
PyTorch
English
bert
emotion-classification
text-embeddings-inference
Instructions to use bdotloh/just-another-emotion-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bdotloh/just-another-emotion-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bdotloh/just-another-emotion-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bdotloh/just-another-emotion-classifier") model = AutoModelForSequenceClassification.from_pretrained("bdotloh/just-another-emotion-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from bdotloh/just-another-emotion-classifier: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/bdotloh/just-another-emotion-classifier/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://bdotloh/just-another-emotion-classifier/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/bdotloh/just-another-emotion-classifier/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- 47013a05c3b601d5c51e098ce2a9d21d9bf9ca50999db10dde46cd865223c51a
- Size of remote file:
- 438 MB
- SHA256:
- 18b60a5520c95fa4c95790e44bbc935f440b288596b316c70be577dd9483c517
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