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 eval_results.txt from FirmanBr/FirmanIndoLanguageModel: direct link, hf CLI and curl.
- Browser
- Download file 75 Bytes
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https://huggingface.co/FirmanBr/FirmanIndoLanguageModel/resolve/main/eval_results.txt
- Command line
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hf download hf://FirmanBr/FirmanIndoLanguageModel/eval_results.txt
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curl -L -o eval_results.txt https://huggingface.co/FirmanBr/FirmanIndoLanguageModel/resolve/main/eval_results.txt
75 Bytes
| correct = 159 | |
| eval_loss = -5.755970259507497 | |
| incorrect = 172 | |
| similar = 234 | |