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")# 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
Upload data/train.csv with huggingface_hub
Browse files- .gitattributes +1 -0
- data/train.csv +3 -0
.gitattributes
CHANGED
|
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 36 |
+
data/train.csv filter=lfs diff=lfs merge=lfs -text
|
data/train.csv
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a31ac1b6f523e2a71d965a481f4731e7c6a0a0ef53bd23611487b7187edbcb35
|
| 3 |
+
size 19203070
|