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:
- 710800b7c6a9de7062f9f3b85d6f4cb69529815b00030342dad2372315b13139
- Size of remote file:
- 17.5 MB
- SHA256:
- bb8c744c754eafa40cad3c771a0bae37bb8c75f573ea2888087239d0dd58a638
路
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