Instructions to use anablasi/model_10k_qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anablasi/model_10k_qa 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="anablasi/model_10k_qa")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("anablasi/model_10k_qa") model = AutoModelForQuestionAnswering.from_pretrained("anablasi/model_10k_qa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from anablasi/model_10k_qa: direct link, hf CLI and curl.
- Browser
- Download file 993 MB
-
https://huggingface.co/anablasi/model_10k_qa/resolve/main/optimizer.pt
- Command line
-
hf download hf://anablasi/model_10k_qa/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/anablasi/model_10k_qa/resolve/main/optimizer.pt
993 MB
- Xet hash:
- 17e9591ac53315a5a267ba3e6539644779f85693986b7cf820e268c17121115d
- Size of remote file:
- 993 MB
- SHA256:
- 715eef7f02533363c87aeb4acea15fdd2cf81b676e778e21604a8b9f56c082e3
路
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