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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9fa744f46b50ec2fd4023bcbec8c0f81b9ae854a15807f5bb7d1213f8c2bcb1c
- Size of remote file:
- 17.5 MB
- SHA256:
- 5b04c151f76726281c06bdd5f9c58db1e51dd3157a2c35dccb48416e4c783bd7
路
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