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# Word Level Pre-trained Models
We have released several pre-trained TransQuest models on word-level quality estimation and they are available on [Hugging Face Model Hub](). We will be keep releasing new models. So please keep in touch.
### Available Models
| Language Pair | NMT/SMT | Domain | Algorithm | Model Name and Link to HUgging Face |
|:---------------:|:--------------:|:------------:|:--------------------:|:------------------------------------:|
| English-German | NMT | IT | MicroTransQuest | [TransQuest/microtransquest-en_de-it-nmt](https://huggingface.co/TransQuest/microtransquest-en_de-it-nmt) |
| | NMT | Wiki | MicroTransQuest | |
| | SMT | IT | MicroTransQuest | [TransQuest/microtransquest-en_de-it-smt](https://huggingface.co/TransQuest/microtransquest-en_de-it-smt) |
| English-Latvian | NMT | Life Sciences| MicroTransQuest | [TransQuest/microtransquest-en_lv-pharmaceutical-nmt](https://huggingface.co/TransQuest/microtransquest-en_lv-pharmaceutical-nmt)|
| | SMT | Life Sciences| MicroTransQuest | [TransQuest/microtransquest-en_lv-pharmaceutical-smt](https://huggingface.co/TransQuest/microtransquest-en_lv-pharmaceutical-smt) |
| English-Czech | SMT | IT | MicroTransQuest | [TransQuest/microtransquest-en_cs-it-smt ](https://huggingface.co/TransQuest/microtransquest-en_cs-it-smt) |
| German-English | SMT | Life Sciences| MicroTransQuest | [TransQuest/microtransquest-de_en-pharmaceutical-smt](https://huggingface.co/TransQuest/microtransquest-de_en-pharmaceutical-smt) |
| English-Chinese | NMT | Wikipedia | MicroTransQuest | |
| English-Russian | NMT | IT | MicroTransQuest | |
| \*-\* | Any | Any | MicroTransQuest | |
You can load any of the above models with the below code. The full notebook is available [here.](https://colab.research.google.com/drive/1fslfFoQnspdv2Do5hfwwkbEwow-CDIxD?usp=sharing)
Let's consider loading microtransquest-en_lv-pharmaceutical-nmt model.
```python
from transquest.algo.word_level.microtransquest.run_model import MicroTransQuestModel
import torch
model = MicroTransQuestModel("xlmroberta", "TransQuest/microtransquest-en_lv-pharmaceutical-nmt", labels=["OK", "BAD"], use_cuda=torch.cuda.is_available())
source_tags, target_tags = model.predict([["if not , you may not be protected against the diseases . ", "ja tā nav , Jūs varat nepasargāt no slimībām . "]])
```
!!! note
\* denotes any language. (\*-\* means any language to any language)
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