Instructions to use vasa-fr/qna_syntec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vasa-fr/qna_syntec 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="vasa-fr/qna_syntec")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("vasa-fr/qna_syntec") model = AutoModelForQuestionAnswering.from_pretrained("vasa-fr/qna_syntec", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
628ee91 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:4011851c2c0444049c712136bdc70267e6fb108ac3ffa2642ff7d9fe0269d76d
size 440204333
|