Instructions to use yusyel/bert_faq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yusyel/bert_faq 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="yusyel/bert_faq")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("yusyel/bert_faq") model = AutoModelForQuestionAnswering.from_pretrained("yusyel/bert_faq", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tf_model.h5 from yusyel/bert_faq: direct link, hf CLI and curl.
- Browser
- Download file 266 MB
-
https://huggingface.co/yusyel/bert_faq/resolve/main/tf_model.h5
- Command line
-
hf download hf://yusyel/bert_faq/tf_model.h5
-
curl -L -o tf_model.h5 https://huggingface.co/yusyel/bert_faq/resolve/main/tf_model.h5
266 MB
- Xet hash:
- fcffe63feecf76d8c5df3c61a4860cc7f53c22c69f5c4333188e3a5e1257f7f5
- Size of remote file:
- 266 MB
- SHA256:
- b81a7044d432866127583799eea91f1a611c53a4dfdf46d92a3f2eef6c89f449
路
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