Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use FlarkAI/mi-super-modelo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FlarkAI/mi-super-modelo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="FlarkAI/mi-super-modelo")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("FlarkAI/mi-super-modelo") model = AutoModelForSequenceClassification.from_pretrained("FlarkAI/mi-super-modelo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f895cb6102632d2e298f6b2cf69ad4e3c3feaf23f73d315f29445efce2561e2a
- Size of remote file:
- 4.86 kB
- SHA256:
- ad8fb892ab5e654cf4d9187ef05f8c82a5ac57ef8ffa8ed73e952b670fd5e218
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