Instructions to use amroadel1/ltgbert-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amroadel1/ltgbert-qa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="amroadel1/ltgbert-qa", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("amroadel1/ltgbert-qa", trust_remote_code=True) model = AutoModelForQuestionAnswering.from_pretrained("amroadel1/ltgbert-qa", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
| { | |
| "model_max_length": 128, | |
| "name_or_path": "/content/ltg-bert-bnc", | |
| "special_tokens_map_file": "/content/ltg-bert-bnc/special_tokens_map.json", | |
| "tokenizer_class": "PreTrainedTokenizerFast" | |
| } | |