Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use yensubldg/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yensubldg/model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="yensubldg/model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("yensubldg/model") model = AutoModelForSequenceClassification.from_pretrained("yensubldg/model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from yensubldg/model: direct link, hf CLI and curl.
- Browser
- Download file 4.66 kB
-
https://huggingface.co/yensubldg/model/resolve/main/training_args.bin
- Command line
-
hf download hf://yensubldg/model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/yensubldg/model/resolve/main/training_args.bin
4.66 kB
- Xet hash:
- 9557c6f1616c7ce50275b010a05fc599ae44a10fdedda34a32a5a85b63a840b5
- Size of remote file:
- 4.66 kB
- SHA256:
- ccde6ee14b2e5772d0bc35688d13f41570a76d0caec5c3c99489ae3ceee865fa
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