Instructions to use annakotarba/model_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use annakotarba/model_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="annakotarba/model_v2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("annakotarba/model_v2") model = AutoModelForQuestionAnswering.from_pretrained("annakotarba/model_v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from annakotarba/model_v2: direct link, hf CLI and curl.
- Browser
- Download file 709 MB
-
https://huggingface.co/annakotarba/model_v2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://annakotarba/model_v2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/annakotarba/model_v2/resolve/main/pytorch_model.bin
709 MB
- Xet hash:
- 58d3fff805f5582657b083e49e44a9702779fb1803b06569fc9da62ad7167c63
- Size of remote file:
- 709 MB
- SHA256:
- aaf79b0517fa45c043209a2f28b9d7d54910747448f0a62179d86b23255e0d84
路
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