Instructions to use Evgen/model_awara_text with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Evgen/model_awara_text with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Evgen/model_awara_text")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Evgen/model_awara_text") model = AutoModel.from_pretrained("Evgen/model_awara_text", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Evgen/model_awara_text: direct link, hf CLI and curl.
- Browser
- Download file 711 MB
-
https://huggingface.co/Evgen/model_awara_text/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Evgen/model_awara_text/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Evgen/model_awara_text/resolve/main/pytorch_model.bin
711 MB
- Xet hash:
- aeaa5566a33fc8ee790344e60bedf1b219bba8b647dfd2551788ef2746c7f3c5
- Size of remote file:
- 711 MB
- SHA256:
- 0514c82a93b6015aeb164c4923972e460eab1b14b65e2dbe5f8460419397e9d5
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