Instructions to use TirthDesai/IMDB-Reviews-Analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TirthDesai/IMDB-Reviews-Analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TirthDesai/IMDB-Reviews-Analysis")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TirthDesai/IMDB-Reviews-Analysis") model = AutoModelForSequenceClassification.from_pretrained("TirthDesai/IMDB-Reviews-Analysis", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
dd96206 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:b209dc0330ee769d7f30017eac6a3cff29d28f0c27601bbf3a04a83a9ae1df23
size 15612568
|