Instructions to use damapika/distilbert-base-uncased_mod with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use damapika/distilbert-base-uncased_mod with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="damapika/distilbert-base-uncased_mod")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("damapika/distilbert-base-uncased_mod") model = AutoModelForQuestionAnswering.from_pretrained("damapika/distilbert-base-uncased_mod", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:1bcf9cd855535ac544abfd94b44a99f016a5e1fd37fb901227dc3007c40fc029
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size 265470032
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