Instructions to use Splend1dchan/canine-c-squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Splend1dchan/canine-c-squad 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="Splend1dchan/canine-c-squad")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Splend1dchan/canine-c-squad") model = AutoModelForQuestionAnswering.from_pretrained("Splend1dchan/canine-c-squad", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (baa32ff26fefbc33059c754468c132c881456bde) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>289b038
-
Upload predictions_.json
3106343 -
Upload nbest_predictions_.json with git-lfs
6c70d60 -
Upload config.json
67ad018 -
Upload training_args.bin with git-lfs
d11b8d6 -
Upload tokenizer_config.json
025701b -
Upload special_tokens_map.json
f7511bb -
Upload README.md
983365c -
Upload pytorch_model.bin with git-lfs
309f51a -
initial commit
3c7fad5