Text Classification
Transformers
Safetensors
English
llama
text-generation
text-embeddings-inference
Instructions to use netcat420/MFANNv0.11 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use netcat420/MFANNv0.11 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="netcat420/MFANNv0.11")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("netcat420/MFANNv0.11") model = AutoModelForCausalLM.from_pretrained("netcat420/MFANNv0.11", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Delete generation_config.json
Browse files- generation_config.json +0 -6
generation_config.json
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"_from_model_config": true,
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"bos_token_id": 128000,
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"eos_token_id": 128001,
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"transformers_version": "4.41.0"
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}
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