Text Classification
Transformers
PyTorch
Safetensors
Polish
bert
sentiment-analysis
twitter
polish
herbert
Eval Results (legacy)
text-embeddings-inference
Instructions to use bardsai/twitter-sentiment-pl-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bardsai/twitter-sentiment-pl-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bardsai/twitter-sentiment-pl-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bardsai/twitter-sentiment-pl-base") model = AutoModelForSequenceClassification.from_pretrained("bardsai/twitter-sentiment-pl-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
e05cce1
1
Parent(s): f01e5a5
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (b2be5f23bbe25cc74ddab851443991121335f6ea)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a1f47572143221e1ee8b460b402ea062111e4d3621e4ad42ab9f22e2822f8aa9
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