Instructions to use TheAIchemist13/span_extraction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TheAIchemist13/span_extraction with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="TheAIchemist13/span_extraction")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("TheAIchemist13/span_extraction") model = AutoModelForQuestionAnswering.from_pretrained("TheAIchemist13/span_extraction") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
377adc1 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:aab9b8e84245c5a544803374767a5a542fdb73da0db63de51c9a27ad37c53558
size 435596088
|