Instructions to use howey/bert-base-uncased-squad-L6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use howey/bert-base-uncased-squad-L6 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="howey/bert-base-uncased-squad-L6")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("howey/bert-base-uncased-squad-L6") model = AutoModelForQuestionAnswering.from_pretrained("howey/bert-base-uncased-squad-L6", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from howey/bert-base-uncased-squad-L6: direct link, hf CLI and curl.
- Browser
- Download file 265 MB
-
https://huggingface.co/howey/bert-base-uncased-squad-L6/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://howey/bert-base-uncased-squad-L6/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/howey/bert-base-uncased-squad-L6/resolve/main/flax_model.msgpack
265 MB
- Xet hash:
- 7c76bbd67c10dc14d501237f00153ca886f08b795bf1bc9bec3bb0cdb37956b1
- Size of remote file:
- 265 MB
- SHA256:
- a469fc32f0d6b6019f2b6673fae5012a5d2a783d0c00efb96dd6a618afff559e
路
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