Instructions to use daviddrzik/SK_BPE_BLM-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use daviddrzik/SK_BPE_BLM-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="daviddrzik/SK_BPE_BLM-qa")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("daviddrzik/SK_BPE_BLM-qa") model = AutoModelForQuestionAnswering.from_pretrained("daviddrzik/SK_BPE_BLM-qa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from daviddrzik/SK_BPE_BLM-qa: direct link, hf CLI and curl.
- Browser
- Download file 233 MB
-
https://huggingface.co/daviddrzik/SK_BPE_BLM-qa/resolve/main/model.safetensors
- Command line
-
hf download hf://daviddrzik/SK_BPE_BLM-qa/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/daviddrzik/SK_BPE_BLM-qa/resolve/main/model.safetensors
233 MB
- Xet hash:
- 917a18a4e33b281cfd80dc214534ffea5c272e22ab5af2992be0d644428c4d7f
- Size of remote file:
- 233 MB
- SHA256:
- 1c91f75d95f1a8db7213fb08de69c0d15e2b9a816648a74e47cae8e503c4145d
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