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| title: README | |
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| Edit this `README.md` markdown file to author your organization card 🔥 | |
| below is a test chat Gpt generated hugging face readme | |
| ParrisTechServices | |
| Welcome to the ParrisTechServices Hugging Face repository! Here you will find various models and datasets for natural language processing tasks. | |
| Models | |
| Our repository currently hosts the following models: | |
| parristechservices/bert-base-uncased-sentiment: a fine-tuned BERT model for sentiment analysis on English text. | |
| Datasets | |
| Our repository currently hosts the following datasets: | |
| parristechservices/sentiment140: a dataset of 1.6 million tweets with sentiment labels, used to train the parristechservices/bert-base-uncased-sentiment model. | |
| Usage | |
| To use any of the models or datasets in this repository, simply install the transformers library from Hugging Face and use the corresponding model or dataset name as the argument for the from_pretrained method. For example, to load the parristechservices/bert-base-uncased-sentiment model, use: | |
| python | |
| Copy code | |
| from transformers import AutoTokenizer, AutoModelForSequenceClassification | |
| tokenizer = AutoTokenizer.from_pretrained("parristechservices/bert-base-uncased-sentiment") | |
| model = AutoModelForSequenceClassification.from_pretrained("parristechservices/bert-base-uncased-sentiment") | |
| Contact Us | |
| If you have any questions or feedback, feel free to reach out to us at contact@parristechservices.com. | |
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