Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use matmei/MulticlassReaction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use matmei/MulticlassReaction with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="matmei/MulticlassReaction")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("matmei/MulticlassReaction") model = AutoModelForSequenceClassification.from_pretrained("matmei/MulticlassReaction", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from matmei/MulticlassReaction: direct link, hf CLI and curl.
- Browser
- Download file 5.39 kB
-
https://huggingface.co/matmei/MulticlassReaction/resolve/main/training_args.bin
- Command line
-
hf download hf://matmei/MulticlassReaction/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/matmei/MulticlassReaction/resolve/main/training_args.bin
5.39 kB
- Xet hash:
- 411044048a548635bdc315e6ce9cb63cb8493dae83ac570eeaa19330aa530851
- Size of remote file:
- 5.39 kB
- SHA256:
- e7c6fb52330ead8757bca59e7b8d109a81b836f05f47ac1c8b69ce485dec2f65
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