Instructions to use keles/ref_str_x with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use keles/ref_str_x with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="keles/ref_str_x")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("keles/ref_str_x") model = AutoModelForSequenceClassification.from_pretrained("keles/ref_str_x", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from keles/ref_str_x: direct link, hf CLI and curl.
- Browser
- Download file 3.58 kB
-
https://huggingface.co/keles/ref_str_x/resolve/main/training_args.bin
- Command line
-
hf download hf://keles/ref_str_x/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/keles/ref_str_x/resolve/main/training_args.bin
3.58 kB
- Xet hash:
- daaeb2ec466132c168fb5e686d1b1037f6b349bf9ae2e9ab0bc3815b98dca38f
- Size of remote file:
- 3.58 kB
- SHA256:
- a66c0156f2334e58520387261cc1808581c11a7f154bc729913dcfa95d979f62
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