Instructions to use alistvt/zero-docalog with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alistvt/zero-docalog with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="alistvt/zero-docalog")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("alistvt/zero-docalog") model = AutoModelForQuestionAnswering.from_pretrained("alistvt/zero-docalog", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cddedceed12f6159a6fd0befe3054d57d9c405e526c6d16734463092a443cafc
- Size of remote file:
- 1.42 GB
- SHA256:
- fe347bd6fedf0e37f4dfa85c6c6ea81d10568334e957b3b6287b28fc71cd2db5
路
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