Instructions to use blackhole33/ExtractQuestionAnswer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use blackhole33/ExtractQuestionAnswer 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="blackhole33/ExtractQuestionAnswer")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("blackhole33/ExtractQuestionAnswer") model = AutoModelForQuestionAnswering.from_pretrained("blackhole33/ExtractQuestionAnswer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from blackhole33/ExtractQuestionAnswer: direct link, hf CLI and curl.
- Browser
- Download file 1.11 GB
-
https://huggingface.co/blackhole33/ExtractQuestionAnswer/resolve/main/model.safetensors
- Command line
-
hf download hf://blackhole33/ExtractQuestionAnswer/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/blackhole33/ExtractQuestionAnswer/resolve/main/model.safetensors
1.11 GB
- Xet hash:
- 2b9ff3a6e248ce0ac7ff65b96677c69e2ff9e0533216a7b3f7fc6842c0016aba
- Size of remote file:
- 1.11 GB
- SHA256:
- 655c0ef87195e48548c7f718dff1498ffc4995bf9cbe07a87b979c0a5f699ba6
路
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