Instructions to use alistvt/03-tinybert-local with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alistvt/03-tinybert-local with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="alistvt/03-tinybert-local")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("alistvt/03-tinybert-local") model = AutoModelForQuestionAnswering.from_pretrained("alistvt/03-tinybert-local", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 57192cd5e13570ab06471fa69c5a48f6d6aad41410ca53e84b47e8a1ba0dc10c
- Size of remote file:
- 3.71 kB
- SHA256:
- 67fa8507c9e6e53458e0efadcd6ae28b91cef1a8be7dcc80ebe0cd9b53cd465e
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