Instructions to use msterbentz/distilbert-base-answer-type-10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use msterbentz/distilbert-base-answer-type-10 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="msterbentz/distilbert-base-answer-type-10")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("msterbentz/distilbert-base-answer-type-10") model = AutoModelForSequenceClassification.from_pretrained("msterbentz/distilbert-base-answer-type-10") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
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:d641c2032b32436ec3f0bdd1fd38aca0ff5aba90f0354d90ad0cce0cbc9a5d9a
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size 267857180
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