philschmid / BERT-tweet-eval-emotion

huggingface.co
Total runs: 8
24-hour runs: 0
7-day runs: 0
30-day runs: 2
Model's Last Updated: October 07 2021
text-classification

Introduction of BERT-tweet-eval-emotion

Model Details of BERT-tweet-eval-emotion

BERT-tweet-eval-emotion trained using autoNLP

  • Problem type: Multi-class Classification
Validation Metrics
  • Loss: 0.5408923625946045
  • Accuracy: 0.8099929627023223
  • Macro F1: 0.7737195387641751
  • Micro F1: 0.8099929627023222
  • Weighted F1: 0.8063100677512649
  • Macro Precision: 0.8083955817268176
  • Micro Precision: 0.8099929627023223
  • Weighted Precision: 0.8104009668394634
  • Macro Recall: 0.7529197049888299
  • Micro Recall: 0.8099929627023223
  • Weighted Recall: 0.8099929627023223
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": "Worry is a down payment on a problem you may never have'. Joyce Meyer.  #motivation #leadership #worry"}' https://api-inference.huggingface.co/models/philschmid/BERT-tweet-eval-emotion

Or Python API:

from transformers import AutoTokenizer, AutoModelForSequenceClassification, pipeline

model_id = 'philschmid/BERT-tweet-eval-emotion'

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForSequenceClassification.from_pretrained(model_id)

classifier = pipeline('text-classification', tokenizer=tokenizer, model=model)
classifier("Worry is a down payment on a problem you may never have'. Joyce Meyer.  #motivation #leadership #worry")

Runs of philschmid BERT-tweet-eval-emotion on huggingface.co

8
Total runs
0
24-hour runs
0
3-day runs
0
7-day runs
2
30-day runs

More Information About BERT-tweet-eval-emotion huggingface.co Model

BERT-tweet-eval-emotion huggingface.co

BERT-tweet-eval-emotion huggingface.co is an AI model on huggingface.co that provides BERT-tweet-eval-emotion's model effect (), which can be used instantly with this philschmid BERT-tweet-eval-emotion model. huggingface.co supports a free trial of the BERT-tweet-eval-emotion model, and also provides paid use of the BERT-tweet-eval-emotion. Support call BERT-tweet-eval-emotion model through api, including Node.js, Python, http.

BERT-tweet-eval-emotion huggingface.co Url

https://huggingface.co/philschmid/BERT-tweet-eval-emotion

philschmid BERT-tweet-eval-emotion online free

BERT-tweet-eval-emotion huggingface.co is an online trial and call api platform, which integrates BERT-tweet-eval-emotion's modeling effects, including api services, and provides a free online trial of BERT-tweet-eval-emotion, you can try BERT-tweet-eval-emotion online for free by clicking the link below.

philschmid BERT-tweet-eval-emotion online free url in huggingface.co:

https://huggingface.co/philschmid/BERT-tweet-eval-emotion

BERT-tweet-eval-emotion install

BERT-tweet-eval-emotion is an open source model from GitHub that offers a free installation service, and any user can find BERT-tweet-eval-emotion on GitHub to install. At the same time, huggingface.co provides the effect of BERT-tweet-eval-emotion install, users can directly use BERT-tweet-eval-emotion installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

BERT-tweet-eval-emotion install url in huggingface.co:

https://huggingface.co/philschmid/BERT-tweet-eval-emotion

Url of BERT-tweet-eval-emotion

BERT-tweet-eval-emotion huggingface.co Url

Provider of BERT-tweet-eval-emotion huggingface.co

philschmid
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