Instructions to use alistvt/01-tinybert-local with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alistvt/01-tinybert-local with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="alistvt/01-tinybert-local")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("alistvt/01-tinybert-local") model = AutoModelForQuestionAnswering.from_pretrained("alistvt/01-tinybert-local", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 36b2a6c3abcaf110e21a15c079ef265b8ff0a27173a2442961982a175deb4775
- Size of remote file:
- 3.71 kB
- SHA256:
- ba0589a6a0b75b59ac672db777ce285a6a633b8d540cfc33779f73520aca0937
路
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