Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use mrovejaxd/FNST_trad_j with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrovejaxd/FNST_trad_j with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mrovejaxd/FNST_trad_j")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mrovejaxd/FNST_trad_j") model = AutoModelForSequenceClassification.from_pretrained("mrovejaxd/FNST_trad_j", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1613bd768549a98007e2660eef6a46d58a4d32cfee5e7ff4fdee04147e99f3ac
- Size of remote file:
- 4.66 kB
- SHA256:
- f5a36676c7e4292f6d1c100f43b09453fd465eb9c2742099471f43fb71d5f558
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