Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use roscazo/finetuning-0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use roscazo/finetuning-0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="roscazo/finetuning-0")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("roscazo/finetuning-0") model = AutoModelForSequenceClassification.from_pretrained("roscazo/finetuning-0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from roscazo/finetuning-0: direct link, hf CLI and curl.
- Browser
- Download file 4.86 kB
-
https://huggingface.co/roscazo/finetuning-0/resolve/main/training_args.bin
- Command line
-
hf download hf://roscazo/finetuning-0/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/roscazo/finetuning-0/resolve/main/training_args.bin
4.86 kB
- Xet hash:
- 61b192b175b38234ac321b5e8076d6aad23ccef942cf263bf145dc2716a7fd24
- Size of remote file:
- 4.86 kB
- SHA256:
- 6cb261d1146276f39fe116b404ddce2da77d8731b69584820f084c78d740142d
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