Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use ASCCCCCCCC/PENGMENGJIE-finetuned-emotion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ASCCCCCCCC/PENGMENGJIE-finetuned-emotion with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ASCCCCCCCC/PENGMENGJIE-finetuned-emotion")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ASCCCCCCCC/PENGMENGJIE-finetuned-emotion") model = AutoModelForSequenceClassification.from_pretrained("ASCCCCCCCC/PENGMENGJIE-finetuned-emotion", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ASCCCCCCCC/PENGMENGJIE-finetuned-emotion: direct link, hf CLI and curl.
- Browser
- Download file 268 MB
-
https://huggingface.co/ASCCCCCCCC/PENGMENGJIE-finetuned-emotion/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ASCCCCCCCC/PENGMENGJIE-finetuned-emotion/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ASCCCCCCCC/PENGMENGJIE-finetuned-emotion/resolve/main/pytorch_model.bin
268 MB
- Xet hash:
- 82516112412b532041c50f404f0b438040724a753c08266f4608dbf83c96762f
- Size of remote file:
- 268 MB
- SHA256:
- 1145c05acd6f9274d0242826ef44e945efaafe1903eb3ad684d308f9061ace55
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