No claim Global warming is not happening - Ice/permafrost/snow cover isn’t melting Global warming is not happening - We’re heading into an ice age/global cooling Global warming is not happening - Weather is cold/snowing Global warming is not happening - Climate hasn’t warmed/changed over the last (few) decade(s) Global warming is not happening - Sea level rise is exaggerated/not accelerating Global warming is not happening - Extreme weather isn’t increasing/has happened before/isn’t linked to climate change Human greenhouse gases are not causing climate change - It’s natural cycles/variation Human greenhouse gases are not causing climate change - There’s no evidence for greenhouse effect/carbon dioxide driving climate change Climate impacts/global warming is beneficial/not bad -Climate sensitivity is low/negative feedbacks reduce warming Climate impacts/global warming is beneficial/not bad -Species/plants/reefs aren’t showing climate impacts/are benefiting from climate change Climate impacts/global warming is beneficial/not bad -CO2 is beneficial/not a pollutant Climate solutions won’t work - Climate policies (mitigation or adaptation) are harmful Climate solutions won’t work - Climate policies areineffective/flawed Climate solutions won’t work - Clean energy technology/biofuels won’t work Climate solutions won’t work - People need energy (e.g. from fossil fuels/nuclear) Climate movement/science is unreliable - Climate-related science is unreliable/uncertain/unsound (data, methods & models) Climate movement/science is unreliable - Climate movement is unreliable/alarmist/corrupt
---
tags: autotrain
language: unk
widget:
- text: "Climate Change is a hoax"
- text: "It is freezing, where is global warming"
datasets:
- KeithHorgan98/autotrain-data-TweetClimateAnalysis
co2_eq_emissions: 133.19491276284793
---

# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 678720226
- CO2 Emissions (in grams): 133.19491276284793

## Validation Metrics

- Loss: 0.4864234924316406
- Accuracy: 0.865424430641822
- Macro F1: 0.7665472174344069
- Micro F1: 0.8654244306418221
- Weighted F1: 0.8586375445115083
- Macro Precision: 0.8281449061702826
- Micro Precision: 0.865424430641822
- Weighted Precision: 0.8619727477790186
- Macro Recall: 0.736576343905098
- Micro Recall: 0.865424430641822
- Weighted Recall: 0.865424430641822


## 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/KeithHorgan98/autotrain-TweetClimateAnalysis-678720226
```

Or Python API:

```
from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("KeithHorgan98/autotrain-TweetClimateAnalysis-678720226", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("KeithHorgan98/autotrain-TweetClimateAnalysis-678720226", use_auth_token=True)

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

outputs = model(**inputs)
```