Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use wooglee/distilbert-imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wooglee/distilbert-imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="wooglee/distilbert-imdb")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("wooglee/distilbert-imdb") model = AutoModelForSequenceClassification.from_pretrained("wooglee/distilbert-imdb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 421ec00d7a1ef03456f7d04a5d370f82ea5b9be4a6c762ca34b41e0cfaea91cd
- Size of remote file:
- 3.18 kB
- SHA256:
- b41653fab3b122064ea78e222ef324ec5d38ffed1b83d36b30e2801f1ffd8a69
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.