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nitishkumargundapu793
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autotrain-chat-bot-responses-949231426

Text Classification
Transformers
PyTorch
English
bert
Trained with AutoTrain
Carbon Emissions
Inference Endpoints
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autotrain-chat-bot-responses-949231426 / README.md
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metadata
tags: autotrain
language: en
widget:
  - text: I love AutoTrain 🤗
datasets:
  - nitishkumargundapu793/autotrain-data-chat-bot-responses
co2_eq_emissions: 0.01123534537751425

Model Trained Using AutoTrain

  • Problem type: Multi-class Classification
  • Model ID: 949231426
  • CO2 Emissions (in grams): 0.01123534537751425

Validation Metrics

  • Loss: 0.26922607421875
  • Accuracy: 1.0
  • Macro F1: 1.0
  • Micro F1: 1.0
  • Weighted F1: 1.0
  • Macro Precision: 1.0
  • Micro Precision: 1.0
  • Weighted Precision: 1.0
  • Macro Recall: 1.0
  • Micro Recall: 1.0
  • Weighted Recall: 1.0

Usage

You can use cURL to access this model:

$ 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/nitishkumargundapu793/autotrain-chat-bot-responses-949231426

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("nitishkumargundapu793/autotrain-chat-bot-responses-949231426", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("nitishkumargundapu793/autotrain-chat-bot-responses-949231426", use_auth_token=True)

inputs = tokenizer("I love AutoTrain", return_tensors="pt")

outputs = model(**inputs)