Instructions to use rowan1224/distilbert-squad-slp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rowan1224/distilbert-squad-slp 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="rowan1224/distilbert-squad-slp")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("rowan1224/distilbert-squad-slp") model = AutoModelForQuestionAnswering.from_pretrained("rowan1224/distilbert-squad-slp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from rowan1224/distilbert-squad-slp: direct link, hf CLI and curl.
- Browser
- Download file 265 MB
-
https://huggingface.co/rowan1224/distilbert-squad-slp/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://rowan1224/distilbert-squad-slp/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/rowan1224/distilbert-squad-slp/resolve/main/pytorch_model.bin
265 MB
- Xet hash:
- ac1393ecef89958a21cbc2a43f262634561a583a68b3c8df4c29342f530e330c
- Size of remote file:
- 265 MB
- SHA256:
- 5dac32095fe29da68df11e7018609aa905a7d781d00c221c9cd2d7dfb3de9247
路
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