Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use matmei/MulticlassReaction_tr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use matmei/MulticlassReaction_tr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="matmei/MulticlassReaction_tr")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("matmei/MulticlassReaction_tr") model = AutoModelForSequenceClassification.from_pretrained("matmei/MulticlassReaction_tr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from matmei/MulticlassReaction_tr: direct link, hf CLI and curl.
- Browser
- Download file 5.39 kB
-
https://huggingface.co/matmei/MulticlassReaction_tr/resolve/main/training_args.bin
- Command line
-
hf download hf://matmei/MulticlassReaction_tr/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/matmei/MulticlassReaction_tr/resolve/main/training_args.bin
5.39 kB
- Xet hash:
- d75b4b7c2114896a73dc5d8c40f79b1aa78cd393dee3725dee344d1e5c15f820
- Size of remote file:
- 5.39 kB
- SHA256:
- 2b02dd8a809f422da3a837a56925d6ceed024fa02a1edab0d09bb6f2a2524c21
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