Instructions to use DarkWarren/my_awesome_qa_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DarkWarren/my_awesome_qa_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="DarkWarren/my_awesome_qa_model")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("DarkWarren/my_awesome_qa_model") model = AutoModelForQuestionAnswering.from_pretrained("DarkWarren/my_awesome_qa_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c25649322db00036e5d274a446975a41eb1a6dc78e0f13a89362d85199731582
- Size of remote file:
- 265 MB
- SHA256:
- 678a8c539a134f7160b4f4f8edae3d2b7f9093524f6c47bd0346baa473b8c0b0
路
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