Instructions to use 4yo1/llama_pre2_task08 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 4yo1/llama_pre2_task08 with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" 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("translation", model="4yo1/llama_pre2_task08")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("4yo1/llama_pre2_task08") model = AutoModelForCausalLM.from_pretrained("4yo1/llama_pre2_task08") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +0 -1
config.json
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"rms_norm_eps": 1e-05,
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"rope_scaling": {
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"factor": 1.1,
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"rope_type": "dynamic",
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"type": "dynamic"
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},
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"rope_theta": 500000.0,
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"rms_norm_eps": 1e-05,
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"rope_scaling": {
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"factor": 1.1,
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"type": "dynamic"
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},
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"rope_theta": 500000.0,
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