Instructions to use ipvikas/distilbert-base-uncased-finetuned-imdb-accelerate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ipvikas/distilbert-base-uncased-finetuned-imdb-accelerate with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ipvikas/distilbert-base-uncased-finetuned-imdb-accelerate")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ipvikas/distilbert-base-uncased-finetuned-imdb-accelerate") model = AutoModelForMaskedLM.from_pretrained("ipvikas/distilbert-base-uncased-finetuned-imdb-accelerate") - Notebooks
- Google Colab
- Kaggle
Training in progress epoch 2
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
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