Instructions to use AmrSheta/Meme with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AmrSheta/Meme with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AmrSheta/Meme")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("AmrSheta/Meme") model = AutoModel.from_pretrained("AmrSheta/Meme", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +1 -1
config.json
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"transformers_version": "4.6.0.dev0",
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"type_vocab_size":
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"use_cache": true,
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"vocab_size": 28996
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}
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"transformers_version": "4.6.0.dev0",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 28996
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}
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