Instructions to use Lumos/imdb3_hga with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lumos/imdb3_hga with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Lumos/imdb3_hga")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Lumos/imdb3_hga") model = AutoModelForSequenceClassification.from_pretrained("Lumos/imdb3_hga", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload pytorch_model.bin with git-lfs
0e2f242 -
Upload special_tokens_map.json
2291a29 -
Upload tokenizer.json
8021f7b -
Upload tokenizer_config.json
e942f57 -
Upload vocab.txt
49296c5 -
Upload config.json
b0955a1 -
Upload training_args.bin with git-lfs
cf575ef -
initial commit
53136d8