Instructions to use Devishri1/test_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Devishri1/test_bert 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_bert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Devishri1/test_bert") model = AutoModelForQuestionAnswering.from_pretrained("Devishri1/test_bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from Devishri1/test_bert: direct link, hf CLI and curl.
- Browser
- Download file 709 MB
-
https://huggingface.co/Devishri1/test_bert/resolve/main/model.safetensors
- Command line
-
hf download hf://Devishri1/test_bert/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/Devishri1/test_bert/resolve/main/model.safetensors
709 MB
- Xet hash:
- 09c594598a78ded9e826ebbbca64b0450b5183434df9537dcfd356ac8f754260
- Size of remote file:
- 709 MB
- SHA256:
- fe1606bf785a7ce4852eb3d260fae1dbe05164b15c12f6330dc16a41c455633c
路
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