Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use LarryTW/llm_NLP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LarryTW/llm_NLP with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LarryTW/llm_NLP")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("LarryTW/llm_NLP") model = AutoModelForSequenceClassification.from_pretrained("LarryTW/llm_NLP") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4c65e36a559c0039dbbc7186f39e57f3ccfeb5e95765440998dc8964090477e9
- Size of remote file:
- 4.79 kB
- SHA256:
- 03af6426126617078e5cb8b57bf2b46d6a95fbaa7edb84b6fba2f994f10481f9
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