Instructions to use harinib/model_los_removing_layer_latest_prosu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use harinib/model_los_removing_layer_latest_prosu with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="harinib/model_los_removing_layer_latest_prosu")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("harinib/model_los_removing_layer_latest_prosu") model = AutoModelForSequenceClassification.from_pretrained("harinib/model_los_removing_layer_latest_prosu", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from harinib/model_los_removing_layer_latest_prosu: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/harinib/model_los_removing_layer_latest_prosu/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://harinib/model_los_removing_layer_latest_prosu/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/harinib/model_los_removing_layer_latest_prosu/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- 39ba394ff983ac669a5fe69329fddee1ce936be4b6a97de36d0e07498fe7989a
- Size of remote file:
- 438 MB
- SHA256:
- 8d05f85fee0414bd5744a56e4c2afcac445ae7ed38757fbe56482359fea55a58
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