Instructions to use Diezu/dieumrc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Diezu/dieumrc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Diezu/dieumrc")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Diezu/dieumrc") model = AutoModelForQuestionAnswering.from_pretrained("Diezu/dieumrc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Diezu/dieumrc: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/Diezu/dieumrc/resolve/main/tokenizer.json
- Command line
-
hf download hf://Diezu/dieumrc/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Diezu/dieumrc/resolve/main/tokenizer.json
17.1 MB
- Xet hash:
- c7bf22ddd2e3e02832a91fd80d0c697a7b92e408e555357f057fbdefddb5e323
- Size of remote file:
- 17.1 MB
- SHA256:
- fdc3a60b9984918cef056322135d19f0ffa477c8df479cca065bcbfb0dbbc8cd
路
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