Instructions to use nvidia/Flora-TempSeg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nvidia/Flora-TempSeg with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.5-9B") model = PeftModel.from_pretrained(base_model, "nvidia/Flora-TempSeg") - Notebooks
- Google Colab
- Kaggle
Omar L commited on
Pin TempSeg base model identity
Browse filesUse Qwen/Qwen3.5-9B at c202236235762e1c871ad0ccb60c8ee5ba337b9a; retain adapter weights.
- MODEL_PROVENANCE.json +13 -1
- SOURCE_MANIFEST.sha256 +1 -1
- adapter_config.json +2 -2
MODEL_PROVENANCE.json
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"schema_version": "nvember_data_engine_model_provenance_v1",
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"source_full_sha256_verified": true,
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"source_mutated": false,
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"training_lineage": "mecka_v3_redelivered_t2"
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}
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"schema_version": "nvember_data_engine_model_provenance_v1",
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"source_full_sha256_verified": true,
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"source_mutated": false,
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"training_lineage": "mecka_v3_redelivered_t2",
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"packaging_adjustments": [
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{
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"file": "adapter_config.json",
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"change": {
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"base_model_name_or_path": "Qwen/Qwen3.5-9B",
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"revision": "c202236235762e1c871ad0ccb60c8ee5ba337b9a"
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},
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"original_sha256": "bd1f51e21c38512f0e4a9b63a502c1282540e9c53dc5417951f36957cc163b61",
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"packaged_sha256": "ecb617b821c2c1dea8ad6bacc7ed312d7dadb90c73b5cfe4ec32d33fc0ebb4ee",
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"weights_changed": false
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}
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]
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}
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SOURCE_MANIFEST.sha256
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-
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13a0eaa6f45bc1cc39c989c7b8d495b64aedc34839f0860d0854b01afe92ac34 adapter_model.safetensors
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ecb617b821c2c1dea8ad6bacc7ed312d7dadb90c73b5cfe4ec32d33fc0ebb4ee adapter_config.json
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13a0eaa6f45bc1cc39c989c7b8d495b64aedc34839f0860d0854b01afe92ac34 adapter_model.safetensors
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adapter_config.json
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@@ -3,7 +3,7 @@
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"alpha_pattern": {},
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"arrow_config": null,
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"auto_mapping": null,
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"base_model_name_or_path": "/
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"bias": "none",
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"corda_config": null,
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"ensure_weight_tying": false,
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"qalora_group_size": 16,
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"r": 32,
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"rank_pattern": {},
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"revision":
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"target_modules": [
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"up_proj",
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"k_proj",
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"alpha_pattern": {},
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"arrow_config": null,
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"auto_mapping": null,
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"base_model_name_or_path": "Qwen/Qwen3.5-9B",
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"bias": "none",
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"corda_config": null,
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"ensure_weight_tying": false,
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"qalora_group_size": 16,
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"r": 32,
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"rank_pattern": {},
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"revision": "c202236235762e1c871ad0ccb60c8ee5ba337b9a",
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"target_modules": [
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"up_proj",
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"k_proj",
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