Instructions to use Barleysack/AERoberta2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Barleysack/AERoberta2 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="Barleysack/AERoberta2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Barleysack/AERoberta2") model = AutoModelForQuestionAnswering.from_pretrained("Barleysack/AERoberta2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Barleysack/AERoberta2: direct link, hf CLI and curl.
- Browser
- Download file 1.36 GB
-
https://huggingface.co/Barleysack/AERoberta2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Barleysack/AERoberta2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Barleysack/AERoberta2/resolve/main/pytorch_model.bin
1.36 GB
- Xet hash:
- 6c2b535faf1258f0dd2ed72431556fb8776e73e468e6fdde688d8fcd2aa653fb
- Size of remote file:
- 1.36 GB
- SHA256:
- 970940bbb1c9d1f054ee16e77dc43c40e623e5d1f2026cfa2c0a50c04aa7dc1a
路
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