Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use smile21/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use smile21/results with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="smile21/results")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("smile21/results") model = AutoModelForSequenceClassification.from_pretrained("smile21/results", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from smile21/results: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/smile21/results/resolve/main/training_args.bin
- Command line
-
hf download hf://smile21/results/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/smile21/results/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- 0f957f54f56f1ff8d3541a69205ec5f28dccd9e4dc6f373090adf22108f402cf
- Size of remote file:
- 5.3 kB
- SHA256:
- fd8f47e57dd262675d885c6970766c22499098826835657032310b87f185cc80
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