Instructions to use dev-analyzer/file_path_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dev-analyzer/file_path_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dev-analyzer/file_path_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dev-analyzer/file_path_model") model = AutoModelForSequenceClassification.from_pretrained("dev-analyzer/file_path_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from dev-analyzer/file_path_model: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/dev-analyzer/file_path_model/resolve/refs%2Fpr%2F2/model.safetensors
- Command line
-
hf download hf://dev-analyzer/file_path_model@refs/pr/2/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/dev-analyzer/file_path_model/resolve/refs%2Fpr%2F2/model.safetensors
438 MB
- Xet hash:
- a55b6148d0e89beda4579360e751c67c10c5913de34d3123324453444a816557
- Size of remote file:
- 438 MB
- SHA256:
- 5d90caffa4c7e643c2b75655cb2dbe26a51f826a9d55684ec8176ea428724e9f
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