Instructions to use heitorrosa/logun-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use heitorrosa/logun-base with PEFT:
Task type is invalid.
- Transformers
How to use heitorrosa/logun-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="heitorrosa/logun-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("heitorrosa/logun-base") model = AutoModelForMaskedLM.from_pretrained("heitorrosa/logun-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Copy heitorrosa/logun-base/sft/checkpoint-1350/trainer_state.json to heitorrosa/logun-base/sft-0.5/checkpoint-1350/trainer_state.json
Browse files
sft-0.5/checkpoint-1350/trainer_state.json
ADDED
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|
| 1 |
+
{
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| 2 |
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| 3 |
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| 5 |
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| 6 |
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| 7 |
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| 8 |
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"is_hyper_param_search": false,
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| 9 |
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"is_local_process_zero": true,
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| 10 |
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"is_world_process_zero": true,
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| 11 |
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"log_history": [
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| 12 |
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{
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| 13 |
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| 18 |
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{
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| 27 |
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| 28 |
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| 30 |
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| 31 |
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| 32 |
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| 33 |
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{
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| 34 |
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| 35 |
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| 39 |
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| 46 |
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{
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| 48 |
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