Instructions to use FirmanBr/FirmanIndoLanguageModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FirmanBr/FirmanIndoLanguageModel with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="FirmanBr/FirmanIndoLanguageModel")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("FirmanBr/FirmanIndoLanguageModel") model = AutoModelForQuestionAnswering.from_pretrained("FirmanBr/FirmanIndoLanguageModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from FirmanBr/FirmanIndoLanguageModel: direct link, hf CLI and curl.
- Browser
- Download file 112 Bytes
-
https://huggingface.co/FirmanBr/FirmanIndoLanguageModel/resolve/refs%2Fpr%2F1/special_tokens_map.json
- Command line
-
hf download hf://FirmanBr/FirmanIndoLanguageModel@refs/pr/1/special_tokens_map.json
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curl -L -o special_tokens_map.json https://huggingface.co/FirmanBr/FirmanIndoLanguageModel/resolve/refs%2Fpr%2F1/special_tokens_map.json
112 Bytes
| {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"} |