Instructions to use MauritsG/classifier_act_distilbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MauritsG/classifier_act_distilbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MauritsG/classifier_act_distilbert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MauritsG/classifier_act_distilbert") model = AutoModelForSequenceClassification.from_pretrained("MauritsG/classifier_act_distilbert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- da1ad954b2bce67ceeeb9394341d17748c9bd9e8452e8bee471a2210759dfafd
- Size of remote file:
- 268 MB
- SHA256:
- 11e6e1082236c32ab0e4cf9512bba9d6f3b2d6271555da1d6a158d739e660f87
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