Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use jonathanybema/twitter-bert-base-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jonathanybema/twitter-bert-base-sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jonathanybema/twitter-bert-base-sentiment", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jonathanybema/twitter-bert-base-sentiment") model = AutoModelForSequenceClassification.from_pretrained("jonathanybema/twitter-bert-base-sentiment", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
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oid sha256:28a24c2fbcedbf803f1afd00e09f3c180c93f00e55cb7e5adcc515d87274165c
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size 437965912
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