Instructions to use xtie/OPT-PET-impression with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xtie/OPT-PET-impression with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" 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("summarization", model="xtie/OPT-PET-impression")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("xtie/OPT-PET-impression") model = AutoModelForCausalLM.from_pretrained("xtie/OPT-PET-impression") - Notebooks
- Google Colab
- Kaggle
File size: 132 Bytes
aa038b3 | 1 2 3 4 5 6 7 8 | {
"_from_model_config": true,
"bos_token_id": 2,
"eos_token_id": 2,
"pad_token_id": 1,
"transformers_version": "4.30.2"
}
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