Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use UserGnalin/temp_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UserGnalin/temp_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="UserGnalin/temp_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("UserGnalin/temp_model") model = AutoModelForSequenceClassification.from_pretrained("UserGnalin/temp_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from UserGnalin/temp_model: direct link, hf CLI and curl.
- Browser
- Download file 4.6 kB
-
https://huggingface.co/UserGnalin/temp_model/resolve/main/training_args.bin
- Command line
-
hf download hf://UserGnalin/temp_model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/UserGnalin/temp_model/resolve/main/training_args.bin
4.6 kB
- Xet hash:
- eb3e23528b6f4b3235e9c03edbc2e378ad2b1953c4a668011466c59001eb2105
- Size of remote file:
- 4.6 kB
- SHA256:
- ffa8ec1f8e2fc18060960518df509840b84a7cf9d2e2a55bea8f5e4c75893b8a
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