Instructions to use HritikBangar/bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HritikBangar/bert with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("HritikBangar/bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from HritikBangar/bert: direct link, hf CLI and curl.
- Browser
- Download file 295 Bytes
-
https://huggingface.co/HritikBangar/bert/resolve/main/config.json
- Command line
-
hf download hf://HritikBangar/bert/config.json
-
curl -L -o config.json https://huggingface.co/HritikBangar/bert/resolve/main/config.json
295 Bytes
| { | |
| "calculate_probabilities": false, | |
| "language": null, | |
| "low_memory": false, | |
| "min_topic_size": 10, | |
| "n_gram_range": [ | |
| 1, | |
| 1 | |
| ], | |
| "nr_topics": null, | |
| "seed_topic_list": null, | |
| "top_n_words": 10, | |
| "verbose": false, | |
| "embedding_model": "sentence-transformers/all-MiniLM-L6-v2" | |
| } |