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
File size: 199 Bytes
e2aa752 | 1 2 3 4 5 6 7 | {
"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"
}
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