Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use ViktorDo/DistilBERT-WIKI_Growth_Form_Finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ViktorDo/DistilBERT-WIKI_Growth_Form_Finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ViktorDo/DistilBERT-WIKI_Growth_Form_Finetuned")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ViktorDo/DistilBERT-WIKI_Growth_Form_Finetuned") model = AutoModelForSequenceClassification.from_pretrained("ViktorDo/DistilBERT-WIKI_Growth_Form_Finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b08270feffedc96251671dc867ead6caa3fbbae6ea0c0fb51117a3f192ab77db
- Size of remote file:
- 268 MB
- SHA256:
- 534a486a45499a3cf705aa8a2947507a80a7575fed97fd1cbe1c45f50a6150f2
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