Instructions to use coldice42/homework6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use coldice42/homework6 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="coldice42/homework6")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("coldice42/homework6") model = AutoModelForQuestionAnswering.from_pretrained("coldice42/homework6", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 236d2b1d0864373b5b64d5bf899ce74355a98efe17839a9d68157e191730958e
- Size of remote file:
- 266 MB
- SHA256:
- 3c408e51517665eaa2b51c2ee5fe6923993377c71e3159a5daa151ef50c09584
路
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