Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use chamizzu/emotion_classifier_roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chamizzu/emotion_classifier_roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="chamizzu/emotion_classifier_roberta")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("chamizzu/emotion_classifier_roberta") model = AutoModelForSequenceClassification.from_pretrained("chamizzu/emotion_classifier_roberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from chamizzu/emotion_classifier_roberta: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/chamizzu/emotion_classifier_roberta/resolve/main/training_args.bin
- Command line
-
hf download hf://chamizzu/emotion_classifier_roberta/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/chamizzu/emotion_classifier_roberta/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- 7c3fa473728e9023a824955ce6165adc6b0e260b5e7d0c59a197f3099b8055d8
- Size of remote file:
- 5.3 kB
- SHA256:
- 91300ff8ec16e768f225c931e3a101b2f14371f607da1d84d96b0337441520d4
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