This documentation describes the integration of MindsDB withHugging Face Inference API. The integration allows for the deployment of Hugging Face models through Inference API within MindsDB, providing the models with access to data from various data sources. ...
Hugging Face Inference Client Documentation: Inference Client Documentation InferenceClient method Hugging Face Serverless API Hugging Face Discuss Board Discussion about Suno/Bark-Small model not working: https://discuss.huggingface.co/t/undefined-error-on-inference-api-serverless-for-several-hf-t...
7.API Inference:通过推理API可以使用超过30k个模型,并且内置可伸缩性。 8.Accelerate:使用multi-GPU,TPU,混合精度容易的训练和使用PyTorch模型。 9.Amazon SageMaker:使用Amazon SageMaker和Hugging Face DLCs训练和部署Transformer模型。 10.Optimum:容易的使用硬件优化工具,来实现HF Transformers的快速训练和推理。 11.Co...
7.API Inference:通过推理API可以使用超过30k个模型,并且内置可伸缩性。 8.Accelerate:使用multi-GPU,TPU,混合精度容易的训练和使用PyTorch模型。 9.Amazon SageMaker:使用Amazon SageMaker和Hugging Face DLCs训练和部署Transformer模型。 10.Optimum:容易的使用硬件优化工具,来实现HF Transformers的快速训练和推理。 11.Co...
📖 Officialdocumentation Hugie is a Command Line Interface (CLI) for working with the Huggingface Inference Endpoints API (API docs) Getting started The package is pip installable and can be installed from PyPI pipx install hugie ⚠️To get started, you must set your individual or organisati...
Hugging Face has abstracted common NLP tasks into a simple-to-use `pipeline()` method, an easy-to-use API for performing a wide variety of tasks. These pipelines allow users to easily apply complex models to real-world problems. If you want to learn more about what’s behind this library...
Ifendpointsare left unspecified, ChatUI will look for the model on the hosted Hugging Face inference API using the model name. OpenAI API compatible models Chat UI can be used with any API server that supports OpenAI API compatibility, for exampletext-generation-webui,LocalAI,FastChat,llama-cpp...
6.3.2. Hugging Face Hub 6.3.3. Hub Python Library 6.3.4. Datasets 6.3.5. Transformers 6.3.6. Transformers 4.45.2 6.3.7. Tokenizers 6.3.8. Text Generation Inference 6.3.9. Evaluate 6.3.10. PEFT 6.3.11. PEFT 0.13.0 6.3.12. TRL - Transformer Reinforcement Learning 6.3.13. 博文: decod...
If you saved your model to W&B Artifacts withWANDB_LOG_MODEL, you can download your model weights for additional training or to run inference. You just load them back into the same Hugging Face architecture that you used before. # Create a new runwithwandb.init(project="amazon_sentiment_an...
Documentation: https://hf.co/docs/huggingface_hub Source Code: https://github.com/huggingface/huggingface_hub Welcome to the huggingface_hub library The huggingface_hub library allows you to interact with the Hugging Face Hub, a platform democratizing open-source Machine Learning for creators and co...