Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use sfarrukhm/distilbert-base-uncased-finetuned-emotion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sfarrukhm/distilbert-base-uncased-finetuned-emotion with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sfarrukhm/distilbert-base-uncased-finetuned-emotion")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sfarrukhm/distilbert-base-uncased-finetuned-emotion") model = AutoModelForSequenceClassification.from_pretrained("sfarrukhm/distilbert-base-uncased-finetuned-emotion", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ab1d3983bfcd3a0e9c8e0a4e37b757c340ddeb0c3bc3fb9a8f18406974c3eeac
- Size of remote file:
- 5.18 kB
- SHA256:
- 52759809611bd631b70a6ac626832b3dabbeb7fa5b4aa4c8e90889f3ac2d9f31
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