Instructions to use Yannis98/tmp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yannis98/tmp with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="Yannis98/tmp")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Yannis98/tmp") model = AutoModelForQuestionAnswering.from_pretrained("Yannis98/tmp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download all_results.json from Yannis98/tmp: direct link, hf CLI and curl.
- Browser
- Download file 17.5 MB
-
https://huggingface.co/Yannis98/tmp/resolve/main/all_results.json
- Command line
-
hf download hf://Yannis98/tmp/all_results.json
-
curl -L -o all_results.json https://huggingface.co/Yannis98/tmp/resolve/main/all_results.json
17.5 MB
- Xet hash:
- 01e3b72cc5d6cc1922ac6e390d00cfdb799d85dcc0cdaa51e6c03b8e1a0c314a
- Size of remote file:
- 17.5 MB
- SHA256:
- 75c79fbcec9810803e5516f41fcc1bbf1ed2209164eb6d86af26fd713491b964
路
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