crcb/hateval_re

1---2tags: autotrain3language: en4widget:5- text: "I love AutoTrain 🤗"6datasets:7- crcb/autotrain-data-hate_speech8co2_eq_emissions: 5.3011328951844839---10 11# Model Trained Using AutoTrain12 13- Problem type: Binary Classification14- Model ID: 75212299415- CO2 Emissions (in grams): 5.30113289518448316 17## Validation Metrics18 19- Loss: 0.710721135139465320- Accuracy: 0.752941176470588221- Precision: 0.750228728270814322- Recall: 0.917739227756015723- AUC: 0.835831639333628724- F1: 0.825572615152277925 26## Usage27 28You can use cURL to access this model:29 30```31$ curl -X POST -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "I love AutoTrain"}' https://api-inference.huggingface.co/models/crcb/autotrain-hate_speech-75212299432```33 34Or Python API:35 36```37from transformers import AutoModelForSequenceClassification, AutoTokenizer38 39model = AutoModelForSequenceClassification.from_pretrained("crcb/autotrain-hate_speech-752122994", use_auth_token=True)40 41tokenizer = AutoTokenizer.from_pretrained("crcb/autotrain-hate_speech-752122994", use_auth_token=True)42 43inputs = tokenizer("I love AutoTrain", return_tensors="pt")44 45outputs = model(**inputs)46```