git clone https://github.com/xai-org/grok-1.git cd grok-1/checkpoints Then download the checkpoints via torrent or from hugginface as in #129 and place ckpt directory (https://huggingface.co/xai-org/grok-1/tree/main/ckpt) into grok-1/checkpoints Then do: cd .. pip install -r ...
git clone https://github.com/xai-org/grok-1.git && cd grok-1 pip install huggingface_hub[hf_transfer] huggingface-cli download xai-org/grok-1 --repo-type model --include ckpt-0/* --local-dir checkpoints --local-dir-use-symlinks False ...
I believe you can just use model.push_to_hub() after authenticating. See the page here: https://huggingface.co/docs/transformers/model_sharing Authenticate: # via bash huggingface-cli login # via python & Jupyter pip install huggingface_hub from huggingface_hub import notebook_login notebook_...
why load pretrained checkpoint occur this? it's not clear what you are doing, but standard create_model uses loading pretrained weights all seem to work fine timm.create_model('vit_base_patch16_224_in21k', pretrained=True) timm.create_model('vit_base_patch16_224_in21k', pretrained=True, ...
Executing the application for the first time can take additional time for downloading the checkpoints for the Mistral 7B large language model and loading it on to the GPU. This procedure may take anywhere from 5 mins to 10 mins depending on your hardware, internet connectivity and so on. ...
For our training loop, we used 60 images training for 2500 steps on a single H100. The total process took approximately 45 minutes to run. Afterwards, the LoRA file and its checkpoints were saved inDownloads/ai-toolkit/output/my_first_flux_lora_v1/. ...
checkpoint = "distilbert-base-uncased-finetuned-sst-2-english" model = AutoModelForSequenceClassification.from_pretrained(checkpoint) outputs = model(**inputs) print(outputs.logits.shape) ## torch.Size([2, 2]) 因为我们只有两个句子和两个标签,所以我们从模型中得到的结果是2 x 2的形状。
Download pre-trained models pre-train wget https://huggingface.co/WitchHuntTV/checkpoint_best_legacy_500.pt/resolve/main/checkpoint_best_legacy_500.pt wget https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/rmvpe.pt logs/44k
How to load the best_model from huggingface using .from_pretrained Setup the tensorboard on huggingface to see the metric graphs. FYI: After the training ends I'm loading best model from local lightning_logs using below code trained_model = ModelModule.load_from_checkpoint( m...
Downloadgit lfsfromhttps://git-lfs.github.com. It is commonly used for cloning repositories with large model checkpoints on HuggingFace. Executegit clone https://huggingface.co/MyNiuuu/MOFA-Video-Hybridto download the complete HuggingFace repository, which currently only includes theckptsfolder. ...