Instructions to use MrCl0ud/v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MrCl0ud/v2 with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="MrCl0ud/v2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("MrCl0ud/v2") model = AutoModelForQuestionAnswering.from_pretrained("MrCl0ud/v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from MrCl0ud/v2: direct link, hf CLI and curl.
- Browser
- Download file 265 MB
-
https://huggingface.co/MrCl0ud/v2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://MrCl0ud/v2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/MrCl0ud/v2/resolve/main/pytorch_model.bin
265 MB
- Xet hash:
- 8fca6f9c1fb38e77490df51880e6226fc3a5f183cf78e03442568a004bcd313c
- Size of remote file:
- 265 MB
- SHA256:
- 3d58442a27fb6a935970df84e09b63c1f83ab1b46630256b15be22df2933add0
路
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