Instructions to use ZTamas/xlm-roberta-large-squad2_impossible_long_answer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ZTamas/xlm-roberta-large-squad2_impossible_long_answer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="ZTamas/xlm-roberta-large-squad2_impossible_long_answer")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ZTamas/xlm-roberta-large-squad2_impossible_long_answer") model = AutoModelForQuestionAnswering.from_pretrained("ZTamas/xlm-roberta-large-squad2_impossible_long_answer") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
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 sha256:60ec498d875fae6b7797686c2dca148769dd28ce7115e4528e7b96df3f7bab71
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size 2235424264
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