Instructions to use EnDevSols/distil_bert_base_uncased_imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EnDevSols/distil_bert_base_uncased_imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="EnDevSols/distil_bert_base_uncased_imdb")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("EnDevSols/distil_bert_base_uncased_imdb") model = AutoModelForSequenceClassification.from_pretrained("EnDevSols/distil_bert_base_uncased_imdb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload folder using huggingface_hub
Verified signaturee6f2101 -
initial commit
Verified signaturec9f912e