Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use ElMad/bold-cod-455 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ElMad/bold-cod-455 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ElMad/bold-cod-455")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ElMad/bold-cod-455") model = AutoModelForSequenceClassification.from_pretrained("ElMad/bold-cod-455", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ElMad/bold-cod-455: direct link, hf CLI and curl.
- Browser
- Download file 5.5 kB
-
https://huggingface.co/ElMad/bold-cod-455/resolve/main/training_args.bin
- Command line
-
hf download hf://ElMad/bold-cod-455/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ElMad/bold-cod-455/resolve/main/training_args.bin
5.5 kB
- Xet hash:
- 83599010f14c09b2df34273b82daf8a5c6a8aea33bdc31710d0eb08228a360a8
- Size of remote file:
- 5.5 kB
- SHA256:
- 4318faaca9779d192172db2ed09a213ed45508c336e3c56e0bb2fe38be9b12c9
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