Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use jennifee/finetuned_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jennifee/finetuned_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jennifee/finetuned_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jennifee/finetuned_model") model = AutoModelForSequenceClassification.from_pretrained("jennifee/finetuned_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from jennifee/finetuned_model: direct link, hf CLI and curl.
- Browser
- Download file 5.78 kB
-
https://huggingface.co/jennifee/finetuned_model/resolve/main/training_args.bin
- Command line
-
hf download hf://jennifee/finetuned_model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/jennifee/finetuned_model/resolve/main/training_args.bin
5.78 kB
- Xet hash:
- 6f2cbb2fe1c56c8bbb7828b5d1103e969a034f767b750b794f409701e554035d
- Size of remote file:
- 5.78 kB
- SHA256:
- b47f3a7608042f59a2079560306f2d1d4ec73d85da2cb28cf9dc4def62c1fa6b
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