face-model | Built with React TypeScript | Frontend Framework library

I've added react-native-camera to my application. After creating a component that uses RNCamera, everytime I try to run my app (using react-native run-android), it asks for the necessary permissions (camera and audio) and then immediately crashes without outputting any error messages.

This is my package.json:

The GPT2 finetuned model is uploaded in huggingface-models for the inferencing

Below error is observed during the inference,

Can't load tokenizer using from_pretrained, please update its configuration: Can't load tokenizer for 'bala1802/model_1_test'. Make sure that: - 'bala1802/model_1_test' is a correct model identifier listed on 'https://huggingface.co/models' - or 'bala1802/model_1_test' is the correct path to a directory containing relevant tokenizer files

Below is the configuration - config.json file for the Finetuned huggingface model,

Short TL;DR: I am using BERT for a sequence classification task and don't understand the output I get.

This is my first post, so please bear with me: I am using bert for a sequence classification task with 3 labels. To do this, I am using huggingface transformers with tensorflow, more specifically the TFBertForSequenceClassification class with the bert-base-german-cased model (yes, using german sentences).

I am by no means an expert in NLP, which is why I pretty much followed this approch here: https://towardsdatascience.com/fine-tuning-hugging-face-model-with-custom-dataset-82b8092f5333 (with some tweaks of course)

Everything seems to be working fine, but the output I receive from my model is what throws me off. Here's just some of the output along the way for context.

The main difference I have to the example from the article is the number of labels. I have 3 while the article only featured 2.

I use a LabelEncoder from sklearn.preprocessing to process my labels

I am using Google Firebase's ML Kit to detect facial contours of images captured from the phone camera. However, it doesn't actually detect any faces. I've verified that the image was captured and saved properly from the camera by displaying the image in an ImageView. I also made sure to add

I've been struggling a lot with that, I found some questions but none could answer my needs. I will try to post a better question and some of the things I tried.

Here is the situation: I have an APIGateway and a WebApp. The WebApp sends POST requests to the APIGateway, so far so good. I use the FromBody attribute to send larger objects, and that was fine too until I introduced interfaces :))

Here's some code:

WebApp: