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camembert-fr-covid-tweet-sentiment-classification
data354/camembert-fr-covid-tweet-sentiment-classification
camembert-fr-covid-tweet-sentiment-classification is a text classification model from data354. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
This model is a fine-tune checkpoint of Yanzhu/bertweetfr-base, fine-tuned on SST-2. This model reaches an accuracy of 71% on the dev set. In this dataset, given a tweet, the goal was to infer the underlying topic of…
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- camembert
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Jul 3, 2023
- SHA
- 336ded26
Try a prompt
Model card
From the Hugging Face model README
camembert-fr-covid-tweet-sentiment-classification
This model is a fine-tune checkpoint of Yanzhu/bertweetfr-base, fine-tuned on SST-2. This model reaches an accuracy of 71% on the dev set. In this dataset, given a tweet, the goal was to infer the underlying topic of the tweet by choosing from four topics classes:
- 0 : negatif
- 1 : neutre
- 2 : positif
Pipelining the Model
from transformers import AutoTokenizer, AutoModelForSequenceClassification, pipeline
tokenizer = AutoTokenizer.from_pretrained("data354/camembert-fr-covid-tweet-sentiment-classification")
model = AutoModelForSequenceClassification.from_pretrained("data354/camembert-fr-covid-tweet-sentiment-classification")
nlp_topic_classif = transformers.pipeline('topics-classification', model = model, tokenizer = tokenizer)
nlp_topic_classif("tchai on est morts. on va se faire vacciner et ils vont contrôler comme les marionnettes avec des fils. d'après les '' ont dit ''...")
# Output: [{'label': 'opinions', 'score': 0.831]
- Task
- Text Classification
- Library
- transformers
- Type
- camembert
- License
- apache-2.0
- Languages
- fr
- Created
- Mar 2, 2022
- Updated
- Jul 3, 2023