Text Classification
Transformers
TensorBoard
Safetensors
PyTorch
English
bert
fill-mask
emotion-classification
text-embeddings-inference
Instructions to use IsmaelMousa/bert-finetuned-emotion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IsmaelMousa/bert-finetuned-emotion with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="IsmaelMousa/bert-finetuned-emotion")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("IsmaelMousa/bert-finetuned-emotion") model = AutoModelForMaskedLM.from_pretrained("IsmaelMousa/bert-finetuned-emotion", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from IsmaelMousa/bert-finetuned-emotion: direct link, hf CLI and curl.
- Browser
- Download file 4.98 kB
-
https://huggingface.co/IsmaelMousa/bert-finetuned-emotion/resolve/main/training_args.bin
- Command line
-
hf download hf://IsmaelMousa/bert-finetuned-emotion/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/IsmaelMousa/bert-finetuned-emotion/resolve/main/training_args.bin
4.98 kB
- Xet hash:
- 458da41f16134f7699331126ac59ac1f20964412a419a2adf628506460f4e34d
- Size of remote file:
- 4.98 kB
- SHA256:
- 8094ff577cffb5f09e957a09305fd80755208b3faa8a111dea8c03b6b71a2a8d
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