requirements.txt doesn't help resolving requirements. about sapbert HOT 1 CLOSED

# Initialize the trainer and model
trainer = Trainer(**cfg.trainer)
exp_manager(trainer, cfg.get("exp_manager", None))
model = nemo_nlp.models.EntityLinkingModel(cfg=cfg.model, trainer=trainer)

INFO:pytorch_lightning.utilities.rank_zero:Using bfloat16 Automatic Mixed Precision (AMP)
INFO:pytorch_lightning.utilities.rank_zero:GPU available: False, used: False
INFO:pytorch_lightning.utilities.rank_zero:TPU available: False, using: 0 TPU cores
INFO:pytorch_lightning.utilities.rank_zero:IPU available: False, using: 0 IPUs
INFO:pytorch_lightning.utilities.rank_zero:HPU available: False, using: 0 HPUs
[NeMo I 2023-02-06 02:31:00 exp_manager:362] Experiments will be logged at SelfAlignmentPretrainingTinyExample/2023-02-06_02-14-21
---------------------------------------------------------------------------
ModuleNotFoundError                       Traceback (most recent call last)
[<ipython-input-33-8586e3adaa65>](https://localhost:8080/#) in <module>
      1 # Initialize the trainer and model
      2 trainer = Trainer(**cfg.trainer)
----> 3 exp_manager(trainer, cfg.get("exp_manager", None))
      4 model = nemo_nlp.models.EntityLinkingModel(cfg=cfg.model, trainer=trainer)

3 frames
[/usr/local/lib/python3.8/dist-packages/lightning_fabric/loggers/tensorboard.py](https://localhost:8080/#) in __init__(self, root_dir, name, version, default_hp_metric, prefix, sub_dir, **kwargs)
     91     ):
     92         if not _TENSORBOARD_AVAILABLE and not _TENSORBOARDX_AVAILABLE:
---> 93             raise ModuleNotFoundError(
     94                 "Neither `tensorboard` nor `tensorboardX` is available. Try `pip install`ing either."
     95             )

ModuleNotFoundError: Neither `tensorboard` nor `tensorboardX` is available. Try `pip install`ing either.