Instructions to use rishikasrinivas/bert-genre-pred with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rishikasrinivas/bert-genre-pred with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rishikasrinivas/bert-genre-pred")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rishikasrinivas/bert-genre-pred", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| def loadFileIntoDict(file): | |
| with open(file, "r") as f: | |
| lines = f.readlines() | |
| f.close() | |
| D = {} | |
| for index_genre_pair in lines: | |
| index, genre = index_genre_pair.split(',') | |
| D[int(index)] = genre[:-1] | |
| return D |