Text Classification
Transformers
Safetensors
English
hs6_classifier
feature-extraction
hs-code
hs6
harmonized-system
hts
tariff
tariff-classification
customs
customs-clearance
trade-compliance
import-export
international-trade
logistics
supply-chain
ecommerce
product-classification
product-categorization
multi-class-classification
english
xlm-roberta
bge-m3
custom_code
Instructions to use Kenpache/hs-code-classifier-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kenpache/hs-code-classifier-en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Kenpache/hs-code-classifier-en", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Kenpache/hs-code-classifier-en", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 331 Bytes
4284421 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | {
"add_prefix_space": true,
"bos_token": "<s>",
"clean_up_tokenization_spaces": true,
"cls_token": "<s>",
"eos_token": "</s>",
"mask_token": "<mask>",
"model_max_length": 1024,
"pad_token": "<pad>",
"sep_token": "</s>",
"sp_model_kwargs": {},
"tokenizer_class": "XLMRobertaTokenizer",
"unk_token": "<unk>"
} |