Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use mrovejaxd/FNST_trad_l with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrovejaxd/FNST_trad_l with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mrovejaxd/FNST_trad_l")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mrovejaxd/FNST_trad_l") model = AutoModelForSequenceClassification.from_pretrained("mrovejaxd/FNST_trad_l", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bb2e6301294145a0657b84b673a2547336ed762d9cae28adec636b56b60f9faa
- Size of remote file:
- 439 MB
- SHA256:
- 55a0f08409307967587d0afbd37e6ea60e25f5f2722a09717168c4633678e2db
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