Text Classification
Transformers
Safetensors
Catalan
roberta
eamt-2026
catalan
valencian
translationese
reward-model
text-embeddings-inference
Instructions to use guerreropaula/ht_mt_classifier_best with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use guerreropaula/ht_mt_classifier_best with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="guerreropaula/ht_mt_classifier_best")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("guerreropaula/ht_mt_classifier_best") model = AutoModelForSequenceClassification.from_pretrained("guerreropaula/ht_mt_classifier_best", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
7f392ad | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:a31ac1b6f523e2a71d965a481f4731e7c6a0a0ef53bd23611487b7187edbcb35
size 19203070
|