Instructions to use Devishri1/test_bert2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Devishri1/test_bert2 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="Devishri1/test_bert2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Devishri1/test_bert2") model = AutoModelForQuestionAnswering.from_pretrained("Devishri1/test_bert2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from Devishri1/test_bert2: direct link, hf CLI and curl.
- Browser
- Download file 709 MB
-
https://huggingface.co/Devishri1/test_bert2/resolve/main/model.safetensors
- Command line
-
hf download hf://Devishri1/test_bert2/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/Devishri1/test_bert2/resolve/main/model.safetensors
709 MB
- Xet hash:
- 061609da32f99c8050c04fab2772606667e316c312e29b91f184130973a9be7a
- Size of remote file:
- 709 MB
- SHA256:
- 1f2d89bedd4f03223aa56152ca2471fd11b5d7f51eac6814deb8e78108b35fe9
路
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