Text Classification
Transformers
PyTorch
TensorBoard
opt
Generated from Trainer
Eval Results (legacy)
Instructions to use amosc00/NLP_sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amosc00/NLP_sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="amosc00/NLP_sentiment")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("amosc00/NLP_sentiment") model = AutoModelForSequenceClassification.from_pretrained("amosc00/NLP_sentiment", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
3e84878 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:112081d32903ba8105e2266cc14082f79f7d3e25e40b17c2c799b75a2918e61b
size 3515
|