Text Classification
Transformers
PyTorch
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use marcolatella/emotion_trained_42 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use marcolatella/emotion_trained_42 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="marcolatella/emotion_trained_42")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("marcolatella/emotion_trained_42") model = AutoModelForSequenceClassification.from_pretrained("marcolatella/emotion_trained_42", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from marcolatella/emotion_trained_42: direct link, hf CLI and curl.
- Browser
- Download file 2.93 kB
-
https://huggingface.co/marcolatella/emotion_trained_42/resolve/main/training_args.bin
- Command line
-
hf download hf://marcolatella/emotion_trained_42/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/marcolatella/emotion_trained_42/resolve/main/training_args.bin
2.93 kB
- Xet hash:
- 62ff39088c45d48618b761a2b2436776f055b5432b17dcd80710cc0d91648d2d
- Size of remote file:
- 2.93 kB
- SHA256:
- 457a862327733b9276b9566a78327c1c42708a2ba0919eaf7b12122b11cdb8d2
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