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 pytorch_model.bin from keles/ref_str_x: direct link, hf CLI and curl.
- Browser
- Download file 443 MB
-
https://huggingface.co/keles/ref_str_x/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://keles/ref_str_x/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/keles/ref_str_x/resolve/main/pytorch_model.bin
443 MB
- Xet hash:
- b1ffc019e3303431543ee1637c9ea04255e21d18663bf5bf345d09c55cab3017
- Size of remote file:
- 443 MB
- SHA256:
- 17e26e5295724e4df9e2224e71521c90abb99879ff8afd5372b80405579e49b0
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