Instructions to use hung200504/test-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hung200504/test-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hung200504/test-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hung200504/test-bert") model = AutoModelForQuestionAnswering.from_pretrained("hung200504/test-bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 95bd3a320b8f2e00221285448a49c85096210609bdbc123e26038b8ad1b64da3
- Size of remote file:
- 431 MB
- SHA256:
- c7364bbebba651938330c232f1dccf1299ca8812f81c7ae72bb8116e9455a0b2
路
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