Instructions to use error577/e044dcfc-83e2-4fa2-aad2-875a52316c8d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use error577/e044dcfc-83e2-4fa2-aad2-875a52316c8d with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TinyLlama/TinyLlama-1.1B-Chat-v0.6") model = PeftModel.from_pretrained(base_model, "error577/e044dcfc-83e2-4fa2-aad2-875a52316c8d") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 800, checkpoint
Browse files
last-checkpoint/adapter_model.safetensors
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last-checkpoint/optimizer.pt
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last-checkpoint/rng_state.pth
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last-checkpoint/scheduler.pt
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last-checkpoint/trainer_state.json
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{
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"best_metric": 0.
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"best_model_checkpoint": "miner_id_24/checkpoint-
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"eval_steps": 200,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"eval_samples_per_second": 31.783,
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"eval_steps_per_second": 2.032,
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"step": 600
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| 4242 |
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| 4243 |
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| 4244 |
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|
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