Instructions to use Sybghat/Testing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sybghat/Testing 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="Sybghat/Testing")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Sybghat/Testing") model = AutoModelForQuestionAnswering.from_pretrained("Sybghat/Testing", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from Sybghat/Testing: direct link, hf CLI and curl.
- Browser
- Download file 265 MB
-
https://huggingface.co/Sybghat/Testing/resolve/main/model.safetensors
- Command line
-
hf download hf://Sybghat/Testing/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/Sybghat/Testing/resolve/main/model.safetensors
265 MB
- Xet hash:
- baf119e528f9dac8747a2bd286fbb3eb7ef63a941c48498106bdbb600a43e0ac
- Size of remote file:
- 265 MB
- SHA256:
- 55fe5b06c74ad9ce89e62bb0fb8103b2270fe76beda0667f0913b5a8ecbd105e
路
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