Instructions to use distilbert/distilbert-base-uncased-distilled-squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use distilbert/distilbert-base-uncased-distilled-squad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="distilbert/distilbert-base-uncased-distilled-squad")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("distilbert/distilbert-base-uncased-distilled-squad") model = AutoModelForQuestionAnswering.from_pretrained("distilbert/distilbert-base-uncased-distilled-squad", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download 384-8bits.tflite from distilbert/distilbert-base-uncased-distilled-squad: direct link, hf CLI and curl.
- Browser
- Download file 67.6 MB
-
https://huggingface.co/distilbert/distilbert-base-uncased-distilled-squad/resolve/main/384-8bits.tflite
- Command line
-
hf download hf://distilbert/distilbert-base-uncased-distilled-squad/384-8bits.tflite
-
curl -L -o 384-8bits.tflite https://huggingface.co/distilbert/distilbert-base-uncased-distilled-squad/resolve/main/384-8bits.tflite
67.6 MB
- Xet hash:
- 7100bf0835d0656823c21c024e55d56ca506a8945a66f4becae884c9d1201721
- Size of remote file:
- 67.6 MB
- SHA256:
- 99aa0f0cc06c676f7f95d2c95abefedcd0037371db6b014268c29ea3d466aa68
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.