Instructions to use JAlexis/bert001 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JAlexis/bert001 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="JAlexis/bert001")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("JAlexis/bert001") model = AutoModelForQuestionAnswering.from_pretrained("JAlexis/bert001", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1be9ff3feb2f97684864872547f999f666cddd8baa2adc43655616a5ddec1109
- Size of remote file:
- 431 MB
- SHA256:
- 7a6f33c953bb85780113c98e5c9c39fb4593916260671033906a3f9fa9cc4d0e
路
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