Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use ElMad/unique-gnu-764 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ElMad/unique-gnu-764 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ElMad/unique-gnu-764")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ElMad/unique-gnu-764") model = AutoModelForSequenceClassification.from_pretrained("ElMad/unique-gnu-764", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ElMad/unique-gnu-764: direct link, hf CLI and curl.
- Browser
- Download file 5.5 kB
-
https://huggingface.co/ElMad/unique-gnu-764/resolve/main/training_args.bin
- Command line
-
hf download hf://ElMad/unique-gnu-764/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ElMad/unique-gnu-764/resolve/main/training_args.bin
5.5 kB
- Xet hash:
- 669bd7dfcd8b9624f81333a466336bec1d6ed01e4228cac39578e6b9602eca63
- Size of remote file:
- 5.5 kB
- SHA256:
- 4741864ee04332a38888a02f91678b7d1ac823709a08a33991e7bdd0ac57db72
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