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:
- 0bca029e6fe625a903414985f6914a056b33f2a92b064b6381122bcea85001bb
- Size of remote file:
- 3.44 kB
- SHA256:
- 8f2dae1429ca7e5f67a12487da6ea39e9ac6b8eb7a24cdd216f88bc0e4ccc6de
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