Comments (1)
duplicate: #299
from autotrain-advanced.
Related Issues (20)
- [BUG] Incompatible protobuf in Dreambooth colab HOT 1
- [BUG] version 0.6.93 will spam: huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... HOT 2
- [BUG] Issue when creating a new autotrain workspace
- [BUG] Unknown task: token-classification HOT 4
- [BUG] AttributeError: module 'autotrain.trainers.clm.utils' has no attribute 'DEFAULT_CHAT_TEMPLATE' HOT 3
- [BUG] Error to run autotrain on databricks HOT 2
- [BUG] Using `bitsandbytes` 8-bit quantization requires Accelerate: `pip install accelerate` and the latest version of bitsandbytes HOT 30
- [BUG] prefetch_factor option HOT 2
- [FEATURE REQUEST] classification tasks confusion matrix HOT 5
- [BUG]Getting Error: RepoID Must contain AlphaNumeric Values when Running on Google Colab HOT 8
- [HELP] Do not know where to upload train.csv in Google Colab
- `deleted` HOT 1
- [BUG] ImportError: cannot import name 'text_encoder_lora_state_dict' from 'diffusers.loaders' (/usr/local/lib/python3.10/dist-packages/diffusers/loaders/__init__.py) HOT 12
- [BUG] UserWarning: Using the model-agnostic default `max_length` (=20) HOT 16
- [BUG] ImportError: cannot import name 'text_encoder_lora_state_dict' from 'diffusers.loaders' HOT 1
- [BUG] "GET /is_model_training HTTP/1.1" 200 OK stuck HOT 12
- [BUG] AttributeError: 'Args' object has no attribute 'checkpoints_total_limit' HOT 3
- Expose the use_rslora of the LoraConfig HOT 2
- [BUG] Dreambooth training not correct HOT 65
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