Instructions to use AlexWortega/hh_search with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AlexWortega/hh_search with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="AlexWortega/hh_search")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("AlexWortega/hh_search") model = AutoModel.from_pretrained("AlexWortega/hh_search", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from AlexWortega/hh_search: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/AlexWortega/hh_search/resolve/main/tokenizer.json
- Command line
-
hf download hf://AlexWortega/hh_search/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/AlexWortega/hh_search/resolve/main/tokenizer.json
17.1 MB
- Xet hash:
- 5f077be07abb91ed75b6146001ac8d3218def78d7e8d75e493f696b022c227c5
- Size of remote file:
- 17.1 MB
- SHA256:
- f1cc44ad7faaeec47241864835473fd5403f2da94673f3f764a77ebcb0a803ec
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