There is a typo at multiple places initializer deepanker13 reviewed Oct 24, 2024 View reviewed changes pkg/initiailizer_v2/dataset/huggingface.py huggingface_hub.snapshot_download( repo_id=dataset_uri, repo_type="dataset", local_dir=constants.VOLUME_PATH_DATASET, Contributor deepanker13...
Huggingface You need to provide a HuggingFace token in a .env file HF_TOKEN=yourtoken Usage The main scriptspeech_dataset_generator/main.pyaccepts command-line arguments for specifying the input file, output directory, time range, and types of enhancers. You can process a single file or an en...
HuggingFace or ModelScope repoSource: pulls a model or dataset from the ModelScope or HuggingFace community. Valid values: ModelScope/Model, ModelScope/DataSet, HuggingFace/Model, and HuggingFace/DataSet. repoId: the ID of the model or dataset. revision: the version. Default value: main or ...
Instead of downloading the 345M GPT model from NGC, download either the 1.3B GPT-3 or 5B GPT-3 models following the instructions on HuggingFace, then point the gpt_file_name variable to the .nemo model file. Note that for the 5B model there are two variants, one with a TP degree of...
The following example uses InferenceSpec to generate a model with the HuggingFace pipeline. For further details about InferenceSpec, refer to the InferenceSpec.from sagemaker.serve.spec.inference_spec import InferenceSpec from transformers import pipeline class MyInferenceSpec(InferenceSpec): def load(...
Edinburgh 56 speaker dataset:https://datashare.is.ed.ac.uk/handle/10283/2791; License:https://datashare.is.ed.ac.uk/bitstream/handle/10283/2791/license_text?sequence=11&isAllowed=y VocalSet: A Singing Voice Datasethttps://zenodo.org/record/1193957#.X1hkxYtlCHs; License: Creative Commons At...
corrected by the human and reused by the machine to retrain the automatic annotator. After evaluating the system, the average annotation time per news item is reduced by 50%. In addition, a set of experiments on the semi-automatically annotated dataset that is generated are performed so as to...
To illustrate the non-SQL related portions of this post, I'll be using a ready-to-use, pretrained model that I found on HuggingFace. This model is calledgnokit/ddpm-butterflies-64. It's a DDPM model, with the UNet architecture as a backbone, trained to perform denoising in 1000 steps ...
repoSource: pulls a model or dataset from the ModelScope or HuggingFace community. Valid values: ModelScope/Model, ModelScope/DataSet, HuggingFace/Model, and HuggingFace/DataSet. repoId: the ID of the model or dataset. revision: the version. Default value: main or master. accessToken: the...
To save and load sessions, you will first need to set your Hugging Face access token using huggingface-cli login. Once set, you can save your session by clicking on the Save Session button in the Session Settings. This will create a dataset repo on the Hub and save your settings and ...