Instructions to use thatdramebaazguy/roberta-base-squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thatdramebaazguy/roberta-base-squad 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="thatdramebaazguy/roberta-base-squad")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("thatdramebaazguy/roberta-base-squad") model = AutoModelForQuestionAnswering.from_pretrained("thatdramebaazguy/roberta-base-squad", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from thatdramebaazguy/roberta-base-squad: direct link, hf CLI and curl.
- Browser
- Download file 496 MB
-
https://huggingface.co/thatdramebaazguy/roberta-base-squad/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://thatdramebaazguy/roberta-base-squad/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/thatdramebaazguy/roberta-base-squad/resolve/main/flax_model.msgpack
496 MB
- Xet hash:
- 579c637a29693edbe85e4ef2b8e2095adb60a04fff1f541e6479d471e0c6d4d8
- Size of remote file:
- 496 MB
- SHA256:
- df4728c7dbb6e79e6aae78299a4911e39f898af5eb5f3117c2145e54d9ae42a3
路
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