Update README.md

README.md

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----
-tags: autonlp
-language: unk
-widget:
-- text: "I love AutoNLP 🤗"
-datasets:
-- rayschwartz/new-text-classifications
-co2_eq_emissions: 2.0318857468309206
----
-
-# Model Trained Using AutoNLP
-
-- Problem type: Multi-class Classification
-- Model ID: 38319698
-- CO2 Emissions (in grams): 2.0318857468309206
-
-## Validation Metrics
-
-- Loss: 0.04461582377552986
-- Accuracy: 0.9909255898366606
-- Macro F1: 0.9951842095089771
-- Micro F1: 0.9909255898366606
-- Weighted F1: 0.9909493945587176
-- Macro Precision: 0.9942196531791907
-- Micro Precision: 0.9909255898366606
-- Weighted Precision: 0.9911878560263526
-- Macro Recall: 0.9962686567164181
-- Micro Recall: 0.9909255898366606
-- Weighted Recall: 0.9909255898366606
-
-
-## 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 AutoNLP"}' https://api-inference.huggingface.co/models/rayschwartz/new-text-classifications
-```
-
-Or Python API:
-
-```
-from transformers import AutoModelForSequenceClassification, AutoTokenizer
-
-model = AutoModelForSequenceClassification.from_pretrained("rayschwartz/new-text-classifications", use_auth_token=True)
-
-tokenizer = AutoTokenizer.from_pretrained("rayschwartz/new-text-classifications", use_auth_token=True)
-
-inputs = tokenizer("I love AutoNLP", return_tensors="pt")
-
-outputs = model(**inputs)
-```