# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("vumichien/emo-mobilebert")
model = AutoModelForSequenceClassification.from_pretrained("vumichien/emo-mobilebert")Quick Links
tf-emo-mobilebert
This model is a fine-tuned version of lordtt13/emo-mobilebert on an unknown dataset. It achieves the following results on the evaluation set:
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- optimizer: None
- training_precision: float32
Training results
Framework versions
- Transformers 4.17.0
- TensorFlow 2.8.0
- Tokenizers 0.11.6
- Downloads last month
- 17
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="vumichien/emo-mobilebert")