Instructions to use dongxq/test_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dongxq/test_model 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="dongxq/test_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("dongxq/test_model") model = AutoModelForSeq2SeqLM.from_pretrained("dongxq/test_model") - Notebooks
- Google Colab
- Kaggle
dongxiaoqun commited on
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7849ebf
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Parent(s): bfdb5fc
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{"eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>","
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{"eos_token": "</s>", "unk_token": "<unk>", "sep_token": "[SEP]", "pad_token": "<pad>", "cls_token": "[CLS]", "mask_token": "[MASK]"}
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