Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use RozzaCreat/my_awesome_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RozzaCreat/my_awesome_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="RozzaCreat/my_awesome_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("RozzaCreat/my_awesome_model") model = AutoModelForSequenceClassification.from_pretrained("RozzaCreat/my_awesome_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from RozzaCreat/my_awesome_model: direct link, hf CLI and curl.
- Browser
- Download file 4.6 kB
-
https://huggingface.co/RozzaCreat/my_awesome_model/resolve/main/training_args.bin
- Command line
-
hf download hf://RozzaCreat/my_awesome_model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/RozzaCreat/my_awesome_model/resolve/main/training_args.bin
4.6 kB
- Xet hash:
- 1ac471057a29a5b2629230184bdc6afa2c87404be7343681ccabe4b9d1152722
- Size of remote file:
- 4.6 kB
- SHA256:
- 7c6bafec7f5b5f0ccb4c78529fe4d1c54bd171a44420d19305e20551bbfb5b6e
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