Text Classification
Transformers
TensorBoard
Safetensors
English
roberta
Trained with AutoTrain
text-embeddings-inference
Instructions to use AdamLucek/roberta-llama3.1405B-twitter-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AdamLucek/roberta-llama3.1405B-twitter-sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AdamLucek/roberta-llama3.1405B-twitter-sentiment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AdamLucek/roberta-llama3.1405B-twitter-sentiment") model = AutoModelForSequenceClassification.from_pretrained("AdamLucek/roberta-llama3.1405B-twitter-sentiment") - Notebooks
- Google Colab
- Kaggle
Request: DOI
#1
by llighthouse - opened
Hey I used the model for a university paper and would like to cite it correctly. :)
Sure! Here you are @llighthouse , hope you get a good grade!
@misc {adam_lucek_2024,
author = { {Adam Lucek} },
title = { roberta-llama3.1405B-twitter-sentiment (Revision 75d7d53) },
year = 2024,
url = { https://huggingface.co/AdamLucek/roberta-llama3.1405B-twitter-sentiment },
doi = { 10.57967/hf/2917 },
publisher = { Hugging Face }
}