Instructions to use Hugging-GK/ModerBert-MultiClass-IMDB-imdb_complete_data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hugging-GK/ModerBert-MultiClass-IMDB-imdb_complete_data with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Hugging-GK/ModerBert-MultiClass-IMDB-imdb_complete_data")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Hugging-GK/ModerBert-MultiClass-IMDB-imdb_complete_data") model = AutoModelForSequenceClassification.from_pretrained("Hugging-GK/ModerBert-MultiClass-IMDB-imdb_complete_data", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
92632d3 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:3e5523c13c191767349c930f3e03c43010c2e87866beeb3f5a23053f96bc39ff
size 598439784
|