Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use ElMad/dapper-mouse-804 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ElMad/dapper-mouse-804 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ElMad/dapper-mouse-804")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ElMad/dapper-mouse-804") model = AutoModelForSequenceClassification.from_pretrained("ElMad/dapper-mouse-804", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ElMad/dapper-mouse-804: direct link, hf CLI and curl.
- Browser
- Download file 5.5 kB
-
https://huggingface.co/ElMad/dapper-mouse-804/resolve/main/training_args.bin
- Command line
-
hf download hf://ElMad/dapper-mouse-804/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ElMad/dapper-mouse-804/resolve/main/training_args.bin
5.5 kB
- Xet hash:
- 3f1c7483b5f22d8163602d8165e569e3b5e8862cdaddfc52cb24cc26e38dca0e
- Size of remote file:
- 5.5 kB
- SHA256:
- 179e8c6728f1a45aedad54226918fa9e642265202dd855ce0b1a0c610e3dcdd3
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