Instructions to use edanigoben/distilbert-classification-eplorer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use edanigoben/distilbert-classification-eplorer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="edanigoben/distilbert-classification-eplorer")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("edanigoben/distilbert-classification-eplorer") model = AutoModelForMaskedLM.from_pretrained("edanigoben/distilbert-classification-eplorer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 5d7c0ef
Training in progress, epoch 2
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
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