Instructions to use hung200504/bert-21 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hung200504/bert-21 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hung200504/bert-21")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hung200504/bert-21") model = AutoModelForQuestionAnswering.from_pretrained("hung200504/bert-21", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 948c6609e32d8e007866ec5ba89add7e9043c34e27fd04719d220c659bd5cc56
- Size of remote file:
- 4.47 kB
- SHA256:
- 7c2ac002103b32515be03bd45bbc90d1991e23bd0df53c3b48ff331dfbd3d74e
路
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