Instructions to use Upetha/qa-streamlit-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Upetha/qa-streamlit-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Upetha/qa-streamlit-model")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Upetha/qa-streamlit-model") model = AutoModelForQuestionAnswering.from_pretrained("Upetha/qa-streamlit-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 76d2fefb57178183f61658d73fd0a8c51f4e694715a340c30165f43bad5a1bcc
- Size of remote file:
- 16 MB
- SHA256:
- a3143bcdf20311eb2f20d6e604b4352197b908044036479392113c42ac3be060
路
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