Instructions to use TLMsp/my_awesome_qa_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TLMsp/my_awesome_qa_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="TLMsp/my_awesome_qa_model")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("TLMsp/my_awesome_qa_model") model = AutoModelForQuestionAnswering.from_pretrained("TLMsp/my_awesome_qa_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 57a0dcc1e885020d8b562f5ed869c3c3b940fb80cdde131ce398fc2007a03f1c
- Size of remote file:
- 5.37 kB
- SHA256:
- c9e78d399b853200f8b4518ede866895f395ed10eeec9f1d3f4cfc1842fdc020
路
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