Instructions to use am-infoweb/QA_REFINED_QUESTIONS_WITH_RANDOM_DATA_24K_16_08 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use am-infoweb/QA_REFINED_QUESTIONS_WITH_RANDOM_DATA_24K_16_08 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="am-infoweb/QA_REFINED_QUESTIONS_WITH_RANDOM_DATA_24K_16_08")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("am-infoweb/QA_REFINED_QUESTIONS_WITH_RANDOM_DATA_24K_16_08") model = AutoModelForQuestionAnswering.from_pretrained("am-infoweb/QA_REFINED_QUESTIONS_WITH_RANDOM_DATA_24K_16_08", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:ec68d37643e96dcc0a331f3c23f78b9fbdbacb2d4b1afe5ed42d6b5d5c6bedb1
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size 496250232
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