Instructions to use sahithya20/techdistillbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sahithya20/techdistillbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="sahithya20/techdistillbert")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("sahithya20/techdistillbert") model = AutoModelForQuestionAnswering.from_pretrained("sahithya20/techdistillbert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9dc11ff9bbd1c24a0bd5d645ab1b8b4a8d275b6cd78468408bfbd392c212b628
- Size of remote file:
- 5.3 kB
- SHA256:
- 68887ce5b7d96b07bdfeff11df320030387d1ed471c8b5e6222dedf76723bc0e
路
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