Feature Extraction
Transformers
PyTorch
Safetensors
English
bert
sentiment-analysis
text-classification
generic
sentiment-classification
text-embeddings-inference
Instructions to use numind/NuSentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use numind/NuSentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="numind/NuSentiment")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("numind/NuSentiment") model = AutoModel.from_pretrained("numind/NuSentiment") - Notebooks
- Google Colab
- Kaggle
Commit ·
141ea4a
1
Parent(s): 0149d84
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (393b36e6beb1b52c3dcbf23fd656cfa5a3501c3d)
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 sha256:5395c90e14eba6b417f9a1192a68b720bdd77cfcd3050dfd57a192e9a28eab8d
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size 437955512
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