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 tokenizer.json from dev-analyzer/file_path_model: direct link, hf CLI and curl.
- Browser
- Download file 712 kB
-
https://huggingface.co/dev-analyzer/file_path_model/resolve/7cfdadead275fadfdd06ef2997338d28d0cbc7e4/tokenizer.json
- Command line
-
hf download hf://dev-analyzer/file_path_model@7cfdadead275fadfdd06ef2997338d28d0cbc7e4/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/dev-analyzer/file_path_model/resolve/7cfdadead275fadfdd06ef2997338d28d0cbc7e4/tokenizer.json
712 kB
File too large to display, you can check the raw version instead.