I finished training my model, and didn't know that I need to change the training args to have push_to_hub=True. Is there any other way that I can upload my model to huggingface? I am using Google Colab notebook. python machine-learning nlp huggingface-transformers Share Improve this ques...
In a different code, I now want to download this model & use it for making predictions, Can someone advise how to do this? I tried the below command to upload it:- model_sm=AutoModelForQuestionAnswering.from_pretrained("./trainer_sm") And used it to make predictions by this line...
Verify the GGUF model was created: ls -lash vicuna-13b-v1.5.gguf Pushing the GGUF model to HuggingFace You can optionally push back the GGUF model to HuggingFace. Create a Python script with the filename upload.py that has the following content: from huggingface_hub import HfApi api = ...
There are many quantized Llama2 model’s already upload to HuggingFace, free to use and with many model options. For example, an user calledThe Bloke, has uploaded several versions, including theLLama2 with 7b parameters models, optimized for chat, from 2 to 8-bit quantization levels. They ...
In short, Spaces allow users to upload applications, typically written with Gradio, and run them on HuggingFace's GPU resources to create publicly accessible web applications to serve a wide variety of Deep Learning models. These have proven to be one of the most reliable ways to share novel ...
Hello, I am trying to implement a model that makes uses of nn.conv1d in pytorch. I don't have much experience with C++ but I've read the MNIST examples and part of stable-diffusion.cpp. However, I can't seem to find many examples of ggml...
Part 3. Fine Tuning the Reranker Model For our workflow, we will fine tune theBAAI/bge-reranker-largeopen source model on HuggingFace 😊. Companies such as Cohere also provides reranking models as well for fine tuning. To fine tune our model, we’ll need to format the ground truth lab...
Step 1: Head to HuggingFace's RVC AI webiste. Step 2: Choose RVC AI voice models you want. Step 3: You can choose to upload the audio file you have prepared, or provide Youtube URL of the song you want to make AI cover. Step 4: Click "Generate" to get the AI generated cover ...
//github.com/huggingface/notebooks/blob/main/sagemaker/19_serverless_inference/sagemaker-notebook.ipynb The tutorial works but I'm trying to change the model to a multimodal model that takes text and an image as an input. After some research I've narrowed down my problem ...
I want to know the proper way to deploy the model, also am I doing the other steps correcly? azure huggingface Share Improve this question Follow asked Jul 13 at 20:27 Momo 96022 gold badges99 silver badges2121 bronze badges Add a comment 1 Answer Sorted by: 0 For Model functi...