Instructions to use ShynBui/s26 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShynBui/s26 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="ShynBui/s26")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ShynBui/s26") model = AutoModelForQuestionAnswering.from_pretrained("ShynBui/s26", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ShynBui/s26: direct link, hf CLI and curl.
- Browser
- Download file 4.6 kB
-
https://huggingface.co/ShynBui/s26/resolve/main/training_args.bin
- Command line
-
hf download hf://ShynBui/s26/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ShynBui/s26/resolve/main/training_args.bin
4.6 kB
- Xet hash:
- a3e96b6ef6b4940e779e30d4cbf6bb63bbd96c5aa72cf6a0f37bd83715f79bec
- Size of remote file:
- 4.6 kB
- SHA256:
- 67fe66abfe097edecaf5f2f455d588628a9bd310db2e1ce6f15c862846bccd9b
路
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