Instructions to use philipobiorah/bert-imdb-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use philipobiorah/bert-imdb-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="philipobiorah/bert-imdb-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("philipobiorah/bert-imdb-model") model = AutoModelForSequenceClassification.from_pretrained("philipobiorah/bert-imdb-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a282b628f0908cfee8b56ad64db42bd675d3dfeab2d4567d437a0e4598ddb2ed
- Size of remote file:
- 438 MB
- SHA256:
- b2bd216b42904c9382c0381c94b5852b099c8db7890b14dcf0ebd1f950c2218b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.