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:
- f7679dccbb7cb0b3d48f2f2e237c1082b82e55c57bfa9e9bfe7c8832dd7690a2
- Size of remote file:
- 3.64 kB
- SHA256:
- 2047fda64e886ce3f31ff3663cdbb2242153b46df0316ce1ec37790231630b0b
路
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