Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use WhoCares258/my_awesome_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WhoCares258/my_awesome_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="WhoCares258/my_awesome_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("WhoCares258/my_awesome_model") model = AutoModelForSequenceClassification.from_pretrained("WhoCares258/my_awesome_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from WhoCares258/my_awesome_model: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/WhoCares258/my_awesome_model/resolve/main/training_args.bin
- Command line
-
hf download hf://WhoCares258/my_awesome_model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/WhoCares258/my_awesome_model/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- ed2a7e1f92465b3f5a985cfb1b50f00cf0d538328648e052784fc5ad4af7cdb9
- Size of remote file:
- 5.37 kB
- SHA256:
- f2e222d39f1653e9393d3b3101282d068319a3afc62297e45aa90910d8c893e7
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